{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\nprasad\Dropbox\UP Survey\Manuscript\Submission\JOP\Conditional accept\Final submitted version\Log File _Daxecker_Prasad.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}13 Feb 2025, 14:44:57

{com}. do "C:\Users\nprasad\AppData\Local\Temp\STD703c_000000.tmp"
{txt}
{com}. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Table II. Approval for violence 
> 
. 
. 
. 
. ////For Column M1 of Table II
> reg y_v1 c.legitimize c.response , robust

{txt}Linear regression                               Number of obs     = {res}     4,298
                                                {txt}F(2, 4295)        =  {res}     7.49
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.0034
                                                {txt}Root MSE          =    {res} .69596

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        y_v1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}legitimize {c |}{col 14}{res}{space 2}  .068315{col 26}{space 2}  .021276{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .0266031{col 67}{space 3}  .110027
{txt}{space 4}response {c |}{col 14}{res}{space 2}-.0410108{col 26}{space 2} .0212684{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.0827079{col 67}{space 3} .0006863
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2970988{col 26}{space 2} .0187094{col 37}{space 1}   15.88{col 46}{space 3}0.000{col 54}{space 4} .2604186{col 67}{space 3} .3337789
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Column M2 of Table II
> reg y_v1 c.legitimize c.response vote_bjp resp_gen resp_obc_yadav resp_obc_nyadav resp_sc_njatav resp_muslim  age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,298
                                                {txt}F(10, 4287)       =  {res}    31.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0720
                                                {txt}Root MSE          =    {res} .67219

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}           y_v1{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}legitimize {c |}{col 17}{res}{space 2} .0574954{col 29}{space 2} .0205708{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .0171661{col 70}{space 3} .0978247
{txt}{space 7}response {c |}{col 17}{res}{space 2}-.0482425{col 29}{space 2} .0205598{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4}-.0885504{col 70}{space 3}-.0079347
{txt}{space 7}vote_bjp {c |}{col 17}{res}{space 2} .0492709{col 29}{space 2} .0227065{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0047544{col 70}{space 3} .0937874
{txt}{space 7}resp_gen {c |}{col 17}{res}{space 2}-.0696217{col 29}{space 2} .0368827{col 40}{space 1}   -1.89{col 49}{space 3}0.059{col 57}{space 4}-.1419308{col 70}{space 3} .0026875
{txt}{space 1}resp_obc_yadav {c |}{col 17}{res}{space 2} .0127923{col 29}{space 2}  .041563{col 40}{space 1}    0.31{col 49}{space 3}0.758{col 57}{space 4}-.0686926{col 70}{space 3} .0942773
{txt}resp_obc_nyadav {c |}{col 17}{res}{space 2} .0454907{col 29}{space 2} .0332927{col 40}{space 1}    1.37{col 49}{space 3}0.172{col 57}{space 4}-.0197802{col 70}{space 3} .1107617
{txt}{space 1}resp_sc_njatav {c |}{col 17}{res}{space 2}-.0677392{col 29}{space 2} .0416572{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4}-.1494089{col 70}{space 3} .0139304
{txt}{space 4}resp_muslim {c |}{col 17}{res}{space 2}-.4446541{col 29}{space 2} .0385499{col 40}{space 1}  -11.53{col 49}{space 3}0.000{col 57}{space 4}-.5202318{col 70}{space 3}-.3690765
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0456147{col 29}{space 2} .0310284{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4}-.0152171{col 70}{space 3} .1064465
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0072092{col 29}{space 2} .0205763{col 40}{space 1}    0.35{col 49}{space 3}0.726{col 57}{space 4}-.0331309{col 70}{space 3} .0475494
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .2015443{col 29}{space 2} .1185664{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4}-.0309072{col 70}{space 3} .4339958
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Column M3 of Table II
> reg y_v1 c.legitimize c.response vote_bjp resp_gen resp_obc_yadav resp_obc_nyadav resp_sc_njatav age female  if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,528
                                                {txt}F(9, 3518)        =  {res}     3.39
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0084
                                                {txt}Root MSE          =    {res} .66297

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}           y_v1{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}legitimize {c |}{col 17}{res}{space 2} .0793035{col 29}{space 2} .0223817{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4}  .035421{col 70}{space 3}  .123186
{txt}{space 7}response {c |}{col 17}{res}{space 2} .0005702{col 29}{space 2} .0223928{col 40}{space 1}    0.03{col 49}{space 3}0.980{col 57}{space 4} -.043334{col 70}{space 3} .0444745
{txt}{space 7}vote_bjp {c |}{col 17}{res}{space 2}  .024206{col 29}{space 2} .0232291{col 40}{space 1}    1.04{col 49}{space 3}0.297{col 57}{space 4}-.0213378{col 70}{space 3} .0697498
{txt}{space 7}resp_gen {c |}{col 17}{res}{space 2}-.0593235{col 29}{space 2} .0368441{col 40}{space 1}   -1.61{col 49}{space 3}0.107{col 57}{space 4}-.1315615{col 70}{space 3} .0129145
{txt}{space 1}resp_obc_yadav {c |}{col 17}{res}{space 2}  .010883{col 29}{space 2} .0415667{col 40}{space 1}    0.26{col 49}{space 3}0.793{col 57}{space 4}-.0706144{col 70}{space 3} .0923803
{txt}resp_obc_nyadav {c |}{col 17}{res}{space 2} .0492341{col 29}{space 2} .0332316{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4}-.0159211{col 70}{space 3} .1143892
{txt}{space 1}resp_sc_njatav {c |}{col 17}{res}{space 2}-.0645181{col 29}{space 2}  .041623{col 40}{space 1}   -1.55{col 49}{space 3}0.121{col 57}{space 4}-.1461258{col 70}{space 3} .0170895
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0132101{col 29}{space 2} .0330479{col 40}{space 1}    0.40{col 49}{space 3}0.689{col 57}{space 4}-.0515849{col 70}{space 3}  .078005
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0003196{col 29}{space 2} .0223952{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-.0435893{col 70}{space 3} .0442286
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .2960435{col 29}{space 2}  .125942{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0491168{col 70}{space 3} .5429701
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Column M4 of Table II
> reg y_v1 c.legitimize c.response vote_bjp  age female  if resp_muslim==1, robust

{txt}Linear regression                               Number of obs     = {res}       770
                                                {txt}F(5, 764)         =  {res}    13.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0682
                                                {txt}Root MSE          =    {res}  .6932

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        y_v1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}legitimize {c |}{col 14}{res}{space 2}-.0494459{col 26}{space 2} .0501142{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.1478238{col 67}{space 3} .0489319
{txt}{space 4}response {c |}{col 14}{res}{space 2}-.2675214{col 26}{space 2} .0499981{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-.3656713{col 67}{space 3}-.1693714
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .4119681{col 26}{space 2} .0909989{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .2333305{col 67}{space 3} .5906057
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2129745{col 26}{space 2} .0836067{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0488485{col 67}{space 3} .3771006
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0501434{col 26}{space 2} .0500123{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.0480345{col 67}{space 3} .1483213
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7387114{col 26}{space 2}  .308043{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-1.343423{col 67}{space 3}-.1340003
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Table III. Approval for party participating in violence 
> 
. 
. 
. ////For Column M1 of Table III
> reg y_p1 c.legitimize##c.response vote_bjp resp_hindu  age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,303
                                                {txt}F(7, 4295)        =  {res}    56.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0934
                                                {txt}Root MSE          =    {res} .68419

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                   y_p1{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}legitimize {c |}{col 25}{res}{space 2}-.1062422{col 37}{space 2} .0298264{col 48}{space 1}   -3.56{col 57}{space 3}0.000{col 65}{space 4}-.1647175{col 78}{space 3} -.047767
{txt}{space 15}response {c |}{col 25}{res}{space 2}-.0522857{col 37}{space 2} .0295468{col 48}{space 1}   -1.77{col 57}{space 3}0.077{col 65}{space 4}-.1102127{col 78}{space 3} .0056414
{txt}{space 23} {c |}
c.legitimize#c.response {c |}{col 25}{res}{space 2} .1552503{col 37}{space 2} .0417558{col 48}{space 1}    3.72{col 57}{space 3}0.000{col 65}{space 4} .0733873{col 78}{space 3} .2371133
{txt}{space 23} {c |}
{space 15}vote_bjp {c |}{col 25}{res}{space 2}-.1014514{col 37}{space 2} .0223954{col 48}{space 1}   -4.53{col 57}{space 3}0.000{col 65}{space 4} -.145358{col 78}{space 3}-.0575448
{txt}{space 13}resp_hindu {c |}{col 25}{res}{space 2} .5906042{col 37}{space 2} .0305448{col 48}{space 1}   19.34{col 57}{space 3}0.000{col 65}{space 4} .5307207{col 78}{space 3} .6504877
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0374309{col 37}{space 2} .0311618{col 48}{space 1}    1.20{col 57}{space 3}0.230{col 65}{space 4}-.0236624{col 78}{space 3} .0985242
{txt}{space 17}female {c |}{col 25}{res}{space 2}  .005162{col 37}{space 2} .0209402{col 48}{space 1}    0.25{col 57}{space 3}0.805{col 65}{space 4}-.0358916{col 78}{space 3} .0462155
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.3109061{col 37}{space 2} .1180412{col 48}{space 1}   -2.63{col 57}{space 3}0.008{col 65}{space 4}-.5423278{col 78}{space 3}-.0794845
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Column M2 of Table III
> reg y_p1 c.legitimize##c.response##c.vote_bjp##c.resp_hindu   age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,303
                                                {txt}F(17, 4285)       =  {res}    50.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1542
                                                {txt}Root MSE          =    {res} .66162

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 49}{c |}{col 61}    Robust
{col 1}                                           y_p1{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      t{col 81}   P>|t|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 37}legitimize {c |}{col 49}{res}{space 2} .0823227{col 61}{space 2} .0796892{col 72}{space 1}    1.03{col 81}{space 3}0.302{col 89}{space 4}-.0739094{col 102}{space 3} .2385547
{txt}{space 39}response {c |}{col 49}{res}{space 2}-.2417908{col 61}{space 2}  .071435{col 72}{space 1}   -3.38{col 81}{space 3}0.001{col 89}{space 4}-.3818404{col 102}{space 3}-.1017412
{txt}{space 47} {c |}
{space 24}c.legitimize#c.response {c |}{col 49}{res}{space 2}-.1570381{col 61}{space 2} .1046296{col 72}{space 1}   -1.50{col 81}{space 3}0.133{col 89}{space 4}-.3621662{col 102}{space 3}   .04809
{txt}{space 47} {c |}
{space 39}vote_bjp {c |}{col 49}{res}{space 2} .1656217{col 61}{space 2} .2271903{col 72}{space 1}    0.73{col 81}{space 3}0.466{col 89}{space 4} -.279789{col 102}{space 3} .6110323
{txt}{space 47} {c |}
{space 24}c.legitimize#c.vote_bjp {c |}{col 49}{res}{space 2} .0876272{col 61}{space 2} .3043263{col 72}{space 1}    0.29{col 81}{space 3}0.773{col 89}{space 4}-.5090099{col 102}{space 3} .6842643
{txt}{space 47} {c |}
{space 26}c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .1229517{col 61}{space 2} .2909472{col 72}{space 1}    0.42{col 81}{space 3}0.673{col 89}{space 4}-.4474554{col 102}{space 3} .6933589
{txt}{space 47} {c |}
{space 13}c.legitimize#c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .0124613{col 61}{space 2} .4101878{col 72}{space 1}    0.03{col 81}{space 3}0.976{col 89}{space 4}-.7917193{col 102}{space 3} .8166418
{txt}{space 47} {c |}
{space 37}resp_hindu {c |}{col 49}{res}{space 2} .4827916{col 61}{space 2}  .063705{col 72}{space 1}    7.58{col 81}{space 3}0.000{col 89}{space 4} .3578968{col 102}{space 3} .6076864
{txt}{space 47} {c |}
{space 22}c.legitimize#c.resp_hindu {c |}{col 49}{res}{space 2} .0860097{col 61}{space 2} .0899232{col 72}{space 1}    0.96{col 81}{space 3}0.339{col 89}{space 4}-.0902864{col 102}{space 3} .2623058
{txt}{space 47} {c |}
{space 24}c.response#c.resp_hindu {c |}{col 49}{res}{space 2} .2230553{col 61}{space 2} .0853074{col 72}{space 1}    2.61{col 81}{space 3}0.009{col 89}{space 4} .0558086{col 102}{space 3} .3903019
{txt}{space 47} {c |}
{space 11}c.legitimize#c.response#c.resp_hindu {c |}{col 49}{res}{space 2}-.0412557{col 61}{space 2} .1226134{col 72}{space 1}   -0.34{col 81}{space 3}0.737{col 89}{space 4}-.2816415{col 102}{space 3} .1991301
{txt}{space 47} {c |}
{space 24}c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1727086{col 61}{space 2} .2318993{col 72}{space 1}   -0.74{col 81}{space 3}0.456{col 89}{space 4}-.6273513{col 102}{space 3} .2819341
{txt}{space 47} {c |}
{space 11}c.legitimize#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.7485506{col 61}{space 2} .3103774{col 72}{space 1}   -2.41{col 81}{space 3}0.016{col 89}{space 4}-1.357051{col 102}{space 3}-.1400502
{txt}{space 47} {c |}
{space 13}c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1164683{col 61}{space 2} .2981224{col 72}{space 1}   -0.39{col 81}{space 3}0.696{col 89}{space 4}-.7009425{col 102}{space 3}  .468006
{txt}{space 47} {c |}
c.legitimize#c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2} .8463793{col 61}{space 2}  .419529{col 72}{space 1}    2.02{col 81}{space 3}0.044{col 89}{space 4} .0238853{col 102}{space 3} 1.668873
{txt}{space 47} {c |}
{space 44}age {c |}{col 49}{res}{space 2} .0336012{col 61}{space 2} .0302029{col 72}{space 1}    1.11{col 81}{space 3}0.266{col 89}{space 4}-.0256121{col 102}{space 3} .0928144
{txt}{space 41}female {c |}{col 49}{res}{space 2} .0003975{col 61}{space 2} .0202763{col 72}{space 1}    0.02{col 81}{space 3}0.984{col 89}{space 4}-.0393545{col 102}{space 3} .0401494
{txt}{space 42}_cons {c |}{col 49}{res}{space 2}-.2478804{col 61}{space 2}    .1237{col 72}{space 1}   -2.00{col 81}{space 3}0.045{col 89}{space 4}-.4903963{col 102}{space 3}-.0053644
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Figure 2. Approval for BJP’s response
> 
. 
. 
. ////For Figure 2.A: All Respondents
> reg y_p1 c.legitimize##c.response vote_bjp resp_hindu  age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,303
                                                {txt}F(7, 4295)        =  {res}    56.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0934
                                                {txt}Root MSE          =    {res} .68419

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                   y_p1{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}legitimize {c |}{col 25}{res}{space 2}-.1062422{col 37}{space 2} .0298264{col 48}{space 1}   -3.56{col 57}{space 3}0.000{col 65}{space 4}-.1647175{col 78}{space 3} -.047767
{txt}{space 15}response {c |}{col 25}{res}{space 2}-.0522857{col 37}{space 2} .0295468{col 48}{space 1}   -1.77{col 57}{space 3}0.077{col 65}{space 4}-.1102127{col 78}{space 3} .0056414
{txt}{space 23} {c |}
c.legitimize#c.response {c |}{col 25}{res}{space 2} .1552503{col 37}{space 2} .0417558{col 48}{space 1}    3.72{col 57}{space 3}0.000{col 65}{space 4} .0733873{col 78}{space 3} .2371133
{txt}{space 23} {c |}
{space 15}vote_bjp {c |}{col 25}{res}{space 2}-.1014514{col 37}{space 2} .0223954{col 48}{space 1}   -4.53{col 57}{space 3}0.000{col 65}{space 4} -.145358{col 78}{space 3}-.0575448
{txt}{space 13}resp_hindu {c |}{col 25}{res}{space 2} .5906042{col 37}{space 2} .0305448{col 48}{space 1}   19.34{col 57}{space 3}0.000{col 65}{space 4} .5307207{col 78}{space 3} .6504877
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0374309{col 37}{space 2} .0311618{col 48}{space 1}    1.20{col 57}{space 3}0.230{col 65}{space 4}-.0236624{col 78}{space 3} .0985242
{txt}{space 17}female {c |}{col 25}{res}{space 2}  .005162{col 37}{space 2} .0209402{col 48}{space 1}    0.25{col 57}{space 3}0.805{col 65}{space 4}-.0358916{col 78}{space 3} .0462155
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.3109061{col 37}{space 2} .1180412{col 48}{space 1}   -2.63{col 57}{space 3}0.008{col 65}{space 4}-.5423278{col 78}{space 3}-.0794845
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(legitimize=(0 1) response=(0 1) ) atmeans 
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     4,303
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 4}.420172 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 3}.8226818 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 4}.420172 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 3}.8226818 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 4}.420172 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 3}.8226818 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 4}.420172 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 3}.8226818 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2718324{col 26}{space 2} .0214272{col 37}{space 1}   12.69{col 46}{space 3}0.000{col 54}{space 4}  .229824{col 67}{space 3} .3138408
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2195467{col 26}{space 2} .0203193{col 37}{space 1}   10.80{col 46}{space 3}0.000{col 54}{space 4} .1797103{col 67}{space 3} .2593831
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1655901{col 26}{space 2} .0207306{col 37}{space 1}    7.99{col 46}{space 3}0.000{col 54}{space 4} .1249474{col 67}{space 3} .2062328
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2685548{col 26}{space 2} .0210814{col 37}{space 1}   12.74{col 46}{space 3}0.000{col 54}{space 4} .2272243{col 67}{space 3} .3098852
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.6)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(A: All Respondents) ytitle("Approval for BJP's response") fxsize(40)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 2.B: Hindu BJP Voters
> reg y_p1 c.legitimize##c.response##c.vote_bjp##c.resp_hindu   age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,303
                                                {txt}F(17, 4285)       =  {res}    50.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1542
                                                {txt}Root MSE          =    {res} .66162

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 49}{c |}{col 61}    Robust
{col 1}                                           y_p1{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      t{col 81}   P>|t|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 37}legitimize {c |}{col 49}{res}{space 2} .0823227{col 61}{space 2} .0796892{col 72}{space 1}    1.03{col 81}{space 3}0.302{col 89}{space 4}-.0739094{col 102}{space 3} .2385547
{txt}{space 39}response {c |}{col 49}{res}{space 2}-.2417908{col 61}{space 2}  .071435{col 72}{space 1}   -3.38{col 81}{space 3}0.001{col 89}{space 4}-.3818404{col 102}{space 3}-.1017412
{txt}{space 47} {c |}
{space 24}c.legitimize#c.response {c |}{col 49}{res}{space 2}-.1570381{col 61}{space 2} .1046296{col 72}{space 1}   -1.50{col 81}{space 3}0.133{col 89}{space 4}-.3621662{col 102}{space 3}   .04809
{txt}{space 47} {c |}
{space 39}vote_bjp {c |}{col 49}{res}{space 2} .1656217{col 61}{space 2} .2271903{col 72}{space 1}    0.73{col 81}{space 3}0.466{col 89}{space 4} -.279789{col 102}{space 3} .6110323
{txt}{space 47} {c |}
{space 24}c.legitimize#c.vote_bjp {c |}{col 49}{res}{space 2} .0876272{col 61}{space 2} .3043263{col 72}{space 1}    0.29{col 81}{space 3}0.773{col 89}{space 4}-.5090099{col 102}{space 3} .6842643
{txt}{space 47} {c |}
{space 26}c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .1229517{col 61}{space 2} .2909472{col 72}{space 1}    0.42{col 81}{space 3}0.673{col 89}{space 4}-.4474554{col 102}{space 3} .6933589
{txt}{space 47} {c |}
{space 13}c.legitimize#c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .0124613{col 61}{space 2} .4101878{col 72}{space 1}    0.03{col 81}{space 3}0.976{col 89}{space 4}-.7917193{col 102}{space 3} .8166418
{txt}{space 47} {c |}
{space 37}resp_hindu {c |}{col 49}{res}{space 2} .4827916{col 61}{space 2}  .063705{col 72}{space 1}    7.58{col 81}{space 3}0.000{col 89}{space 4} .3578968{col 102}{space 3} .6076864
{txt}{space 47} {c |}
{space 22}c.legitimize#c.resp_hindu {c |}{col 49}{res}{space 2} .0860097{col 61}{space 2} .0899232{col 72}{space 1}    0.96{col 81}{space 3}0.339{col 89}{space 4}-.0902864{col 102}{space 3} .2623058
{txt}{space 47} {c |}
{space 24}c.response#c.resp_hindu {c |}{col 49}{res}{space 2} .2230553{col 61}{space 2} .0853074{col 72}{space 1}    2.61{col 81}{space 3}0.009{col 89}{space 4} .0558086{col 102}{space 3} .3903019
{txt}{space 47} {c |}
{space 11}c.legitimize#c.response#c.resp_hindu {c |}{col 49}{res}{space 2}-.0412557{col 61}{space 2} .1226134{col 72}{space 1}   -0.34{col 81}{space 3}0.737{col 89}{space 4}-.2816415{col 102}{space 3} .1991301
{txt}{space 47} {c |}
{space 24}c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1727086{col 61}{space 2} .2318993{col 72}{space 1}   -0.74{col 81}{space 3}0.456{col 89}{space 4}-.6273513{col 102}{space 3} .2819341
{txt}{space 47} {c |}
{space 11}c.legitimize#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.7485506{col 61}{space 2} .3103774{col 72}{space 1}   -2.41{col 81}{space 3}0.016{col 89}{space 4}-1.357051{col 102}{space 3}-.1400502
{txt}{space 47} {c |}
{space 13}c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1164683{col 61}{space 2} .2981224{col 72}{space 1}   -0.39{col 81}{space 3}0.696{col 89}{space 4}-.7009425{col 102}{space 3}  .468006
{txt}{space 47} {c |}
c.legitimize#c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2} .8463793{col 61}{space 2}  .419529{col 72}{space 1}    2.02{col 81}{space 3}0.044{col 89}{space 4} .0238853{col 102}{space 3} 1.668873
{txt}{space 47} {c |}
{space 44}age {c |}{col 49}{res}{space 2} .0336012{col 61}{space 2} .0302029{col 72}{space 1}    1.11{col 81}{space 3}0.266{col 89}{space 4}-.0256121{col 102}{space 3} .0928144
{txt}{space 41}female {c |}{col 49}{res}{space 2} .0003975{col 61}{space 2} .0202763{col 72}{space 1}    0.02{col 81}{space 3}0.984{col 89}{space 4}-.0393545{col 102}{space 3} .0401494
{txt}{space 42}_cons {c |}{col 49}{res}{space 2}-.2478804{col 61}{space 2}    .1237{col 72}{space 1}   -2.00{col 81}{space 3}0.045{col 89}{space 4}-.4903963{col 102}{space 3}-.0053644
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(vote_bjp=(1) legitimize=(0 1) response=(0 1) resp_hindu==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     4,303
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3510947{col 26}{space 2} .0335368{col 37}{space 1}   10.47{col 46}{space 3}0.000{col 54}{space 4} .2853452{col 67}{space 3} .4168442
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3388426{col 26}{space 2}   .03027{col 37}{space 1}   11.19{col 46}{space 3}0.000{col 54}{space 4} .2794977{col 67}{space 3} .3981875
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1414964{col 26}{space 2} .0291491{col 37}{space 1}   -4.85{col 46}{space 3}0.000{col 54}{space 4}-.1986437{col 67}{space 3}-.0843491
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5067983{col 26}{space 2} .0282501{col 37}{space 1}   17.94{col 46}{space 3}0.000{col 54}{space 4} .4514136{col 67}{space 3} .5621831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.6)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(B: Hindu BJP Voters) ytitle("Approval for BJP's response") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 2.C: Hindu non-BJP Voters
> reg y_p1 c.legitimize##c.response##c.vote_bjp##c.resp_hindu   age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,303
                                                {txt}F(17, 4285)       =  {res}    50.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1542
                                                {txt}Root MSE          =    {res} .66162

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 49}{c |}{col 61}    Robust
{col 1}                                           y_p1{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      t{col 81}   P>|t|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 37}legitimize {c |}{col 49}{res}{space 2} .0823227{col 61}{space 2} .0796892{col 72}{space 1}    1.03{col 81}{space 3}0.302{col 89}{space 4}-.0739094{col 102}{space 3} .2385547
{txt}{space 39}response {c |}{col 49}{res}{space 2}-.2417908{col 61}{space 2}  .071435{col 72}{space 1}   -3.38{col 81}{space 3}0.001{col 89}{space 4}-.3818404{col 102}{space 3}-.1017412
{txt}{space 47} {c |}
{space 24}c.legitimize#c.response {c |}{col 49}{res}{space 2}-.1570381{col 61}{space 2} .1046296{col 72}{space 1}   -1.50{col 81}{space 3}0.133{col 89}{space 4}-.3621662{col 102}{space 3}   .04809
{txt}{space 47} {c |}
{space 39}vote_bjp {c |}{col 49}{res}{space 2} .1656217{col 61}{space 2} .2271903{col 72}{space 1}    0.73{col 81}{space 3}0.466{col 89}{space 4} -.279789{col 102}{space 3} .6110323
{txt}{space 47} {c |}
{space 24}c.legitimize#c.vote_bjp {c |}{col 49}{res}{space 2} .0876272{col 61}{space 2} .3043263{col 72}{space 1}    0.29{col 81}{space 3}0.773{col 89}{space 4}-.5090099{col 102}{space 3} .6842643
{txt}{space 47} {c |}
{space 26}c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .1229517{col 61}{space 2} .2909472{col 72}{space 1}    0.42{col 81}{space 3}0.673{col 89}{space 4}-.4474554{col 102}{space 3} .6933589
{txt}{space 47} {c |}
{space 13}c.legitimize#c.response#c.vote_bjp {c |}{col 49}{res}{space 2} .0124613{col 61}{space 2} .4101878{col 72}{space 1}    0.03{col 81}{space 3}0.976{col 89}{space 4}-.7917193{col 102}{space 3} .8166418
{txt}{space 47} {c |}
{space 37}resp_hindu {c |}{col 49}{res}{space 2} .4827916{col 61}{space 2}  .063705{col 72}{space 1}    7.58{col 81}{space 3}0.000{col 89}{space 4} .3578968{col 102}{space 3} .6076864
{txt}{space 47} {c |}
{space 22}c.legitimize#c.resp_hindu {c |}{col 49}{res}{space 2} .0860097{col 61}{space 2} .0899232{col 72}{space 1}    0.96{col 81}{space 3}0.339{col 89}{space 4}-.0902864{col 102}{space 3} .2623058
{txt}{space 47} {c |}
{space 24}c.response#c.resp_hindu {c |}{col 49}{res}{space 2} .2230553{col 61}{space 2} .0853074{col 72}{space 1}    2.61{col 81}{space 3}0.009{col 89}{space 4} .0558086{col 102}{space 3} .3903019
{txt}{space 47} {c |}
{space 11}c.legitimize#c.response#c.resp_hindu {c |}{col 49}{res}{space 2}-.0412557{col 61}{space 2} .1226134{col 72}{space 1}   -0.34{col 81}{space 3}0.737{col 89}{space 4}-.2816415{col 102}{space 3} .1991301
{txt}{space 47} {c |}
{space 24}c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1727086{col 61}{space 2} .2318993{col 72}{space 1}   -0.74{col 81}{space 3}0.456{col 89}{space 4}-.6273513{col 102}{space 3} .2819341
{txt}{space 47} {c |}
{space 11}c.legitimize#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.7485506{col 61}{space 2} .3103774{col 72}{space 1}   -2.41{col 81}{space 3}0.016{col 89}{space 4}-1.357051{col 102}{space 3}-.1400502
{txt}{space 47} {c |}
{space 13}c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2}-.1164683{col 61}{space 2} .2981224{col 72}{space 1}   -0.39{col 81}{space 3}0.696{col 89}{space 4}-.7009425{col 102}{space 3}  .468006
{txt}{space 47} {c |}
c.legitimize#c.response#c.vote_bjp#c.resp_hindu {c |}{col 49}{res}{space 2} .8463793{col 61}{space 2}  .419529{col 72}{space 1}    2.02{col 81}{space 3}0.044{col 89}{space 4} .0238853{col 102}{space 3} 1.668873
{txt}{space 47} {c |}
{space 44}age {c |}{col 49}{res}{space 2} .0336012{col 61}{space 2} .0302029{col 72}{space 1}    1.11{col 81}{space 3}0.266{col 89}{space 4}-.0256121{col 102}{space 3} .0928144
{txt}{space 41}female {c |}{col 49}{res}{space 2} .0003975{col 61}{space 2} .0202763{col 72}{space 1}    0.02{col 81}{space 3}0.984{col 89}{space 4}-.0393545{col 102}{space 3} .0401494
{txt}{space 42}_cons {c |}{col 49}{res}{space 2}-.2478804{col 61}{space 2}    .1237{col 72}{space 1}   -2.00{col 81}{space 3}0.045{col 89}{space 4}-.4903963{col 102}{space 3}-.0053644
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(vote_bjp=(0) legitimize=(0 1) response=(0 1)  resp_hindu==1    ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     4,303
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_hindu}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.663203 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4589821 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3581816{col 26}{space 2} .0321459{col 37}{space 1}   11.14{col 46}{space 3}0.000{col 54}{space 4} .2951591{col 67}{space 3} .4212041
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .339446{col 26}{space 2} .0338396{col 37}{space 1}   10.03{col 46}{space 3}0.000{col 54}{space 4} .2731028{col 67}{space 3} .4057892
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5265139{col 26}{space 2} .0265939{col 37}{space 1}   19.80{col 46}{space 3}0.000{col 54}{space 4} .4743761{col 67}{space 3} .5786518
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3094846{col 26}{space 2} .0348676{col 37}{space 1}    8.88{col 46}{space 3}0.000{col 54}{space 4} .2411261{col 67}{space 3}  .377843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.6)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(C: Hindu non-BJP Voters) ytitle("Approval for BJP's response") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Figure 3. Approval of the BJP’s response, by core and persuadable voters
> 
. 
. 
. ////For Figure 3.A: Core Supporters (Upper Castes)
> reg y_p1 c.legitimize##c.response##c.resp_gen c.vote_bjp   age  female  resp_obc_yadav resp_obc_nyadav resp_sc_njatav if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}    11.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0414
                                                {txt}Root MSE          =    {res} .66651

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                              y_p1{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}legitimize {c |}{col 36}{res}{space 2}-.0867691{col 48}{space 2} .0350571{col 59}{space 1}   -2.48{col 68}{space 3}0.013{col 76}{space 4}-.1555035{col 89}{space 3}-.0180348
{txt}{space 26}response {c |}{col 36}{res}{space 2} .0045286{col 48}{space 2}  .035732{col 59}{space 1}    0.13{col 68}{space 3}0.899{col 76}{space 4}-.0655288{col 89}{space 3} .0745861
{txt}{space 34} {c |}
{space 11}c.legitimize#c.response {c |}{col 36}{res}{space 2} .0799557{col 48}{space 2} .0506383{col 59}{space 1}    1.58{col 68}{space 3}0.114{col 76}{space 4}-.0193275{col 89}{space 3}  .179239
{txt}{space 34} {c |}
{space 26}resp_gen {c |}{col 36}{res}{space 2}-.0415826{col 48}{space 2} .0634702{col 59}{space 1}   -0.66{col 68}{space 3}0.512{col 76}{space 4}-.1660246{col 89}{space 3} .0828593
{txt}{space 34} {c |}
{space 11}c.legitimize#c.resp_gen {c |}{col 36}{res}{space 2}-.2332831{col 48}{space 2}  .077157{col 59}{space 1}   -3.02{col 68}{space 3}0.003{col 76}{space 4}-.3845601{col 89}{space 3}-.0820062
{txt}{space 34} {c |}
{space 13}c.response#c.resp_gen {c |}{col 36}{res}{space 2}-.0768454{col 48}{space 2} .0808029{col 59}{space 1}   -0.95{col 68}{space 3}0.342{col 76}{space 4}-.2352706{col 89}{space 3} .0815797
{txt}{space 34} {c |}
c.legitimize#c.response#c.resp_gen {c |}{col 36}{res}{space 2} .5386599{col 48}{space 2} .1082688{col 59}{space 1}    4.98{col 68}{space 3}0.000{col 76}{space 4} .3263841{col 89}{space 3} .7509357
{txt}{space 34} {c |}
{space 26}vote_bjp {c |}{col 36}{res}{space 2}-.0995067{col 48}{space 2} .0240186{col 59}{space 1}   -4.14{col 68}{space 3}0.000{col 76}{space 4}-.1465985{col 89}{space 3}-.0524149
{txt}{space 31}age {c |}{col 36}{res}{space 2}   .02806{col 48}{space 2} .0328083{col 59}{space 1}    0.86{col 68}{space 3}0.392{col 76}{space 4}-.0362652{col 89}{space 3} .0923852
{txt}{space 28}female {c |}{col 36}{res}{space 2} .0042198{col 48}{space 2} .0225246{col 59}{space 1}    0.19{col 68}{space 3}0.851{col 76}{space 4}-.0399428{col 89}{space 3} .0483824
{txt}{space 20}resp_obc_yadav {c |}{col 36}{res}{space 2} .0773535{col 48}{space 2} .0413968{col 59}{space 1}    1.87{col 68}{space 3}0.062{col 76}{space 4}-.0038106{col 89}{space 3} .1585176
{txt}{space 19}resp_obc_nyadav {c |}{col 36}{res}{space 2} .1057967{col 48}{space 2} .0340382{col 59}{space 1}    3.11{col 68}{space 3}0.002{col 76}{space 4} .0390601{col 89}{space 3} .1725333
{txt}{space 20}resp_sc_njatav {c |}{col 36}{res}{space 2}-.0068366{col 48}{space 2} .0414408{col 59}{space 1}   -0.16{col 68}{space 3}0.869{col 76}{space 4} -.088087{col 89}{space 3} .0744138
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} .2633507{col 48}{space 2} .1250113{col 59}{space 1}    2.11{col 68}{space 3}0.035{col 76}{space 4} .0182488{col 89}{space 3} .5084525
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_gen==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,540
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3230844{col 26}{space 2} .0555819{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4} .2141084{col 67}{space 3} .4320604
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2507676{col 26}{space 2} .0540693{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .1447573{col 67}{space 3} .3567779
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0030321{col 26}{space 2}  .049374{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.0937723{col 67}{space 3} .0998365
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5493309{col 26}{space 2} .0484848{col 37}{space 1}   11.33{col 46}{space 3}0.000{col 54}{space 4} .4542699{col 67}{space 3}  .644392
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(A: Core Supporters (Upper Castes)) ytitle("Approval for BJP's response") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 3.B: Likely Supporters (Non-Yadav OBCs)
> reg y_p1 c.legitimize##c.response##resp_obc_nyadav c.vote_bjp   age  female c.resp_gen resp_obc_yadav  resp_sc_njatav if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}     8.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0306
                                                {txt}Root MSE          =    {res} .67026

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                   y_p1{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      t{col 73}   P>|t|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}legitimize {c |}{col 41}{res}{space 2}-.1650383{col 53}{space 2} .0389593{col 64}{space 1}   -4.24{col 73}{space 3}0.000{col 81}{space 4}-.2414234{col 94}{space 3}-.0886532
{txt}{space 31}response {c |}{col 41}{res}{space 2}-.0030812{col 53}{space 2} .0399006{col 64}{space 1}   -0.08{col 73}{space 3}0.938{col 81}{space 4}-.0813118{col 94}{space 3} .0751493
{txt}{space 39} {c |}
{space 16}c.legitimize#c.response {c |}{col 41}{res}{space 2} .2319366{col 53}{space 2} .0562192{col 64}{space 1}    4.13{col 73}{space 3}0.000{col 81}{space 4} .1217112{col 94}{space 3}  .342162
{txt}{space 39} {c |}
{space 22}1.resp_obc_nyadav {c |}{col 41}{res}{space 2} .1035764{col 53}{space 2} .0543153{col 64}{space 1}    1.91{col 73}{space 3}0.057{col 81}{space 4}-.0029162{col 94}{space 3}  .210069
{txt}{space 39} {c |}
{space 11}resp_obc_nyadav#c.legitimize {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0616349{col 53}{space 2} .0662891{col 64}{space 1}    0.93{col 73}{space 3}0.353{col 81}{space 4} -.068334{col 94}{space 3} .1916038
{txt}{space 39} {c |}
{space 13}resp_obc_nyadav#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0321165{col 53}{space 2} .0679039{col 64}{space 1}   -0.47{col 73}{space 3}0.636{col 81}{space 4}-.1652514{col 94}{space 3} .1010183
{txt}{space 39} {c |}
resp_obc_nyadav#c.legitimize#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0507487{col 53}{space 2} .0940413{col 64}{space 1}   -0.54{col 73}{space 3}0.589{col 81}{space 4}-.2351296{col 94}{space 3} .1336323
{txt}{space 39} {c |}
{space 31}vote_bjp {c |}{col 41}{res}{space 2}-.0983743{col 53}{space 2} .0238104{col 64}{space 1}   -4.13{col 73}{space 3}0.000{col 81}{space 4}-.1450578{col 94}{space 3}-.0516908
{txt}{space 36}age {c |}{col 41}{res}{space 2} .0230909{col 53}{space 2} .0330955{col 64}{space 1}    0.70{col 73}{space 3}0.485{col 81}{space 4}-.0417974{col 94}{space 3} .0879792
{txt}{space 33}female {c |}{col 41}{res}{space 2} .0049444{col 53}{space 2} .0226892{col 64}{space 1}    0.22{col 73}{space 3}0.828{col 81}{space 4} -.039541{col 94}{space 3} .0494297
{txt}{space 31}resp_gen {c |}{col 41}{res}{space 2}-.0637603{col 53}{space 2} .0379581{col 64}{space 1}   -1.68{col 73}{space 3}0.093{col 81}{space 4}-.1381825{col 94}{space 3} .0106618
{txt}{space 25}resp_obc_yadav {c |}{col 41}{res}{space 2} .0776382{col 53}{space 2} .0416296{col 64}{space 1}    1.86{col 73}{space 3}0.062{col 81}{space 4}-.0039823{col 94}{space 3} .1592587
{txt}{space 25}resp_sc_njatav {c |}{col 41}{res}{space 2}-.0054071{col 53}{space 2}  .041618{col 64}{space 1}   -0.13{col 73}{space 3}0.897{col 81}{space 4}-.0870049{col 94}{space 3} .0761907
{txt}{space 34}_cons {c |}{col 41}{res}{space 2}  .286876{col 53}{space 2}  .126419{col 64}{space 1}    2.27{col 73}{space 3}0.023{col 81}{space 4} .0390143{col 94}{space 3} .5347378
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_obc_nyadav==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,540
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.1169492 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4232435{col 26}{space 2} .0426054{col 37}{space 1}    9.93{col 46}{space 3}0.000{col 54}{space 4} .3397097{col 67}{space 3} .5067773
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3880457{col 26}{space 2} .0423151{col 37}{space 1}    9.17{col 46}{space 3}0.000{col 54}{space 4} .3050812{col 67}{space 3} .4710103
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3198401{col 26}{space 2} .0400164{col 37}{space 1}    7.99{col 46}{space 3}0.000{col 54}{space 4} .2413825{col 67}{space 3} .3982977
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4658303{col 26}{space 2} .0401207{col 37}{space 1}   11.61{col 46}{space 3}0.000{col 54}{space 4} .3871681{col 67}{space 3} .5444925
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "legitimize""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(B: Likely Supporters (Non-Yadav OBCs)) ytitle("Approval for BJP's response") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 3.C: Likely Supporters (Non-Jatav SCs)
> reg y_p1 c.legitimize##c.response##resp_sc_njatav c.vote_bjp   age  female c.resp_gen resp_obc_yadav resp_obc_nyadav  if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}     8.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0316
                                                {txt}Root MSE          =    {res} .66991

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                  y_p1{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}legitimize {c |}{col 40}{res}{space 2}-.1678452{col 52}{space 2} .0339967{col 63}{space 1}   -4.94{col 72}{space 3}0.000{col 80}{space 4}-.2345003{col 93}{space 3}  -.10119
{txt}{space 30}response {c |}{col 40}{res}{space 2}-.0344123{col 52}{space 2} .0349174{col 63}{space 1}   -0.99{col 72}{space 3}0.324{col 80}{space 4}-.1028727{col 93}{space 3} .0340482
{txt}{space 38} {c |}
{space 15}c.legitimize#c.response {c |}{col 40}{res}{space 2} .2557113{col 52}{space 2} .0484538{col 63}{space 1}    5.28{col 72}{space 3}0.000{col 80}{space 4}  .160711{col 93}{space 3} .3507116
{txt}{space 38} {c |}
{space 22}1.resp_sc_njatav {c |}{col 40}{res}{space 2}-.1089038{col 52}{space 2} .0696064{col 63}{space 1}   -1.56{col 72}{space 3}0.118{col 80}{space 4}-.2453766{col 93}{space 3} .0275691
{txt}{space 38} {c |}
{space 11}resp_sc_njatav#c.legitimize {c |}
{space 36}1  {c |}{col 40}{res}{space 2}  .195594{col 52}{space 2} .0886452{col 63}{space 1}    2.21{col 72}{space 3}0.027{col 80}{space 4}  .021793{col 93}{space 3} .3693951
{txt}{space 38} {c |}
{space 13}resp_sc_njatav#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2} .1711234{col 52}{space 2}  .089557{col 63}{space 1}    1.91{col 72}{space 3}0.056{col 80}{space 4}-.0044654{col 93}{space 3} .3467122
{txt}{space 38} {c |}
resp_sc_njatav#c.legitimize#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.3414197{col 52}{space 2}  .131034{col 63}{space 1}   -2.61{col 72}{space 3}0.009{col 80}{space 4}-.5983298{col 93}{space 3}-.0845096
{txt}{space 38} {c |}
{space 30}vote_bjp {c |}{col 40}{res}{space 2}-.1002731{col 52}{space 2} .0237971{col 63}{space 1}   -4.21{col 72}{space 3}0.000{col 80}{space 4}-.1469306{col 93}{space 3}-.0536155
{txt}{space 35}age {c |}{col 40}{res}{space 2} .0232334{col 52}{space 2} .0330293{col 63}{space 1}    0.70{col 72}{space 3}0.482{col 80}{space 4} -.041525{col 93}{space 3} .0879918
{txt}{space 32}female {c |}{col 40}{res}{space 2} .0060086{col 52}{space 2} .0226558{col 63}{space 1}    0.27{col 72}{space 3}0.791{col 80}{space 4}-.0384112{col 93}{space 3} .0504283
{txt}{space 30}resp_gen {c |}{col 40}{res}{space 2}-.0630595{col 52}{space 2} .0379716{col 63}{space 1}   -1.66{col 72}{space 3}0.097{col 80}{space 4} -.137508{col 93}{space 3}  .011389
{txt}{space 24}resp_obc_yadav {c |}{col 40}{res}{space 2} .0773645{col 52}{space 2} .0416304{col 63}{space 1}    1.86{col 72}{space 3}0.063{col 80}{space 4}-.0042576{col 93}{space 3} .1589866
{txt}{space 23}resp_obc_nyadav {c |}{col 40}{res}{space 2} .1061161{col 52}{space 2} .0340886{col 63}{space 1}    3.11{col 72}{space 3}0.002{col 80}{space 4} .0392806{col 93}{space 3} .1729515
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .2978414{col 52}{space 2} .1257973{col 63}{space 1}    2.37{col 72}{space 3}0.018{col 80}{space 4} .0511986{col 93}{space 3} .5444843
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_sc_njatav==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,540
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 3}.4951977 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4649718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.2497175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.1420904 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3353107 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2581565{col 26}{space 2} .0641128{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .1324546{col 67}{space 3} .3838584
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3948676{col 26}{space 2} .0611494{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .2749757{col 67}{space 3} .5147594
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2859053{col 26}{space 2} .0601723{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .1679292{col 67}{space 3} .4038814
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .336908{col 26}{space 2} .0738006{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .1922119{col 67}{space 3} .4816042
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(C: Likely Supporters (Non-Jatav SCs)) ytitle("Approval for BJP's response") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 3.D: BJP Voters (Upper Castes)
> reg y_p1 c.legitimize##c.response##c.resp_gen c.vote_bjp   age  female  resp_obc_yadav resp_obc_nyadav resp_sc_njatav if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1302
                                                {txt}Root MSE          =    {res}  .6372

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                              y_p1{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}legitimize {c |}{col 36}{res}{space 2}-.4560115{col 48}{space 2} .0526527{col 59}{space 1}   -8.66{col 68}{space 3}0.000{col 76}{space 4}-.5592786{col 89}{space 3}-.3527444
{txt}{space 26}response {c |}{col 36}{res}{space 2}-.0011098{col 48}{space 2} .0505861{col 59}{space 1}   -0.02{col 68}{space 3}0.982{col 76}{space 4}-.1003236{col 89}{space 3} .0981041
{txt}{space 34} {c |}
{space 11}c.legitimize#c.response {c |}{col 36}{res}{space 2} .5534046{col 48}{space 2} .0716281{col 59}{space 1}    7.73{col 68}{space 3}0.000{col 76}{space 4} .4129214{col 89}{space 3} .6938877
{txt}{space 34} {c |}
{space 26}resp_gen {c |}{col 36}{res}{space 2}-.0043961{col 48}{space 2} .0810182{col 59}{space 1}   -0.05{col 68}{space 3}0.957{col 76}{space 4}-.1632959{col 89}{space 3} .1545037
{txt}{space 34} {c |}
{space 11}c.legitimize#c.resp_gen {c |}{col 36}{res}{space 2}-.0224452{col 48}{space 2} .0942213{col 59}{space 1}   -0.24{col 68}{space 3}0.812{col 76}{space 4}-.2072402{col 89}{space 3} .1623498
{txt}{space 34} {c |}
{space 13}c.response#c.resp_gen {c |}{col 36}{res}{space 2} -.064487{col 48}{space 2} .0997181{col 59}{space 1}   -0.65{col 68}{space 3}0.518{col 76}{space 4}-.2600626{col 89}{space 3} .1310887
{txt}{space 34} {c |}
c.legitimize#c.response#c.resp_gen {c |}{col 36}{res}{space 2} .2439383{col 48}{space 2} .1299899{col 59}{space 1}    1.88{col 68}{space 3}0.061{col 76}{space 4}-.0110091{col 89}{space 3} .4988858
{txt}{space 34} {c |}
{space 26}vote_bjp {c |}{col 36}{res}{space 2}        0{col 48}{txt}  (omitted)
{space 31}age {c |}{col 36}{res}{space 2} .0255422{col 48}{space 2} .0447271{col 59}{space 1}    0.57{col 68}{space 3}0.568{col 76}{space 4}-.0621805{col 89}{space 3} .1132648
{txt}{space 28}female {c |}{col 36}{res}{space 2} -.012267{col 48}{space 2} .0301267{col 59}{space 1}   -0.41{col 68}{space 3}0.684{col 76}{space 4} -.071354{col 89}{space 3}   .04682
{txt}{space 20}resp_obc_yadav {c |}{col 36}{res}{space 2} .1613816{col 48}{space 2} .0698224{col 59}{space 1}    2.31{col 68}{space 3}0.021{col 76}{space 4} .0244399{col 89}{space 3} .2983233
{txt}{space 19}resp_obc_nyadav {c |}{col 36}{res}{space 2} .1503382{col 48}{space 2} .0465871{col 59}{space 1}    3.23{col 68}{space 3}0.001{col 76}{space 4} .0589675{col 89}{space 3} .2417089
{txt}{space 20}resp_sc_njatav {c |}{col 36}{res}{space 2} .0721817{col 48}{space 2} .0587423{col 59}{space 1}    1.23{col 68}{space 3}0.219{col 76}{space 4}-.0430288{col 89}{space 3} .1873922
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} .1862638{col 48}{space 2} .1737545{col 59}{space 1}    1.07{col 68}{space 3}0.284{col 76}{space 4}-.1545185{col 89}{space 3} .5270461
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_gen==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,808
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .337112{col 26}{space 2} .0655038{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .2086403{col 67}{space 3} .4655837
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2715153{col 26}{space 2} .0634183{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} .1471338{col 67}{space 3} .3958967
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1413447{col 26}{space 2} .0524524{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-.2442188{col 67}{space 3}-.0384706
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5904014{col 26}{space 2} .0509267{col 37}{space 1}   11.59{col 46}{space 3}0.000{col 54}{space 4} .4905196{col 67}{space 3} .6902833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(D: BJP Voters (Upper Castes)) ytitle("Approval for BJP's response")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 3.E: BJP Voters (Non-Yadav OBCs)
> reg y_p1 c.legitimize##c.response##resp_obc_nyadav c.vote_bjp   age  female c.resp_gen resp_obc_yadav  resp_sc_njatav if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1270
                                                {txt}Root MSE          =    {res} .63836

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                   y_p1{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      t{col 73}   P>|t|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}legitimize {c |}{col 41}{res}{space 2}-.4840087{col 53}{space 2} .0549435{col 64}{space 1}   -8.81{col 73}{space 3}0.000{col 81}{space 4}-.5917687{col 94}{space 3}-.3762487
{txt}{space 31}response {c |}{col 41}{res}{space 2}-.0364588{col 53}{space 2} .0575245{col 64}{space 1}   -0.63{col 73}{space 3}0.526{col 81}{space 4}-.1492809{col 94}{space 3} .0763633
{txt}{space 39} {c |}
{space 16}c.legitimize#c.response {c |}{col 41}{res}{space 2} .6844069{col 53}{space 2} .0763457{col 64}{space 1}    8.96{col 73}{space 3}0.000{col 81}{space 4} .5346711{col 94}{space 3} .8341428
{txt}{space 39} {c |}
{space 22}1.resp_obc_nyadav {c |}{col 41}{res}{space 2} .1274156{col 53}{space 2} .0757365{col 64}{space 1}    1.68{col 73}{space 3}0.093{col 81}{space 4}-.0211254{col 94}{space 3} .2759566
{txt}{space 39} {c |}
{space 11}resp_obc_nyadav#c.legitimize {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0586657{col 53}{space 2} .0919674{col 64}{space 1}    0.64{col 73}{space 3}0.524{col 81}{space 4}-.1217086{col 94}{space 3} .2390401
{txt}{space 39} {c |}
{space 13}resp_obc_nyadav#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0420901{col 53}{space 2} .0904033{col 64}{space 1}    0.47{col 73}{space 3}0.642{col 81}{space 4}-.1352166{col 94}{space 3} .2193968
{txt}{space 39} {c |}
resp_obc_nyadav#c.legitimize#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1186707{col 53}{space 2} .1239278{col 64}{space 1}   -0.96{col 73}{space 3}0.338{col 81}{space 4}-.3617285{col 94}{space 3} .1243872
{txt}{space 39} {c |}
{space 31}vote_bjp {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 36}age {c |}{col 41}{res}{space 2} .0242104{col 53}{space 2} .0447273{col 64}{space 1}    0.54{col 73}{space 3}0.588{col 81}{space 4}-.0635126{col 94}{space 3} .1119334
{txt}{space 33}female {c |}{col 41}{res}{space 2}-.0121568{col 53}{space 2} .0301932{col 64}{space 1}   -0.40{col 73}{space 3}0.687{col 81}{space 4}-.0713743{col 94}{space 3} .0470607
{txt}{space 31}resp_gen {c |}{col 41}{res}{space 2} .0117736{col 53}{space 2} .0481672{col 64}{space 1}    0.24{col 73}{space 3}0.807{col 81}{space 4}-.0826961{col 94}{space 3} .1062432
{txt}{space 25}resp_obc_yadav {c |}{col 41}{res}{space 2} .1619314{col 53}{space 2} .0703179{col 64}{space 1}    2.30{col 73}{space 3}0.021{col 81}{space 4} .0240179{col 94}{space 3} .2998449
{txt}{space 25}resp_sc_njatav {c |}{col 41}{res}{space 2} .0698365{col 53}{space 2}  .058928{col 64}{space 1}    1.19{col 73}{space 3}0.236{col 81}{space 4}-.0457382{col 94}{space 3} .1854111
{txt}{space 34}_cons {c |}{col 41}{res}{space 2} .1930035{col 53}{space 2} .1742021{col 64}{space 1}    1.11{col 73}{space 3}0.268{col 81}{space 4}-.1486568{col 94}{space 3} .5346638
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_obc_nyadav==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,808
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_nyadav}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_nj~v}{space 4}{txt:=} {space 3}.0879425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4242473{col 26}{space 2} .0575497{col 37}{space 1}    7.37{col 46}{space 3}0.000{col 54}{space 4} .3113759{col 67}{space 3} .5371187
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4298786{col 26}{space 2} .0517573{col 37}{space 1}    8.31{col 46}{space 3}0.000{col 54}{space 4} .3283677{col 67}{space 3} .5313894
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0010957{col 26}{space 2} .0570753{col 37}{space 1}   -0.02{col 46}{space 3}0.985{col 54}{space 4}-.1130367{col 67}{space 3} .1108453
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5702719{col 26}{space 2} .0504435{col 37}{space 1}   11.31{col 46}{space 3}0.000{col 54}{space 4} .4713376{col 67}{space 3} .6692061
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(E: BJP Voters (Non-Yadav OBCs)) ytitle("Approval for BJP's response")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. ////For Figure 3.F: BJP Voters (Non-Jatav SCs)
> reg y_p1 c.legitimize##c.response##resp_sc_njatav c.vote_bjp   age  female c.resp_gen resp_obc_yadav resp_obc_nyadav  if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1272
                                                {txt}Root MSE          =    {res}  .6383

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                  y_p1{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}legitimize {c |}{col 40}{res}{space 2}-.4711629{col 52}{space 2} .0467379{col 63}{space 1}  -10.08{col 72}{space 3}0.000{col 80}{space 4}-.5628294{col 93}{space 3}-.3794964
{txt}{space 30}response {c |}{col 40}{res}{space 2} -.033808{col 52}{space 2} .0469541{col 63}{space 1}   -0.72{col 72}{space 3}0.472{col 80}{space 4}-.1258985{col 93}{space 3} .0582826
{txt}{space 38} {c |}
{space 15}c.legitimize#c.response {c |}{col 40}{res}{space 2} .6626501{col 52}{space 2} .0637904{col 63}{space 1}   10.39{col 72}{space 3}0.000{col 80}{space 4} .5375388{col 93}{space 3} .7877614
{txt}{space 38} {c |}
{space 22}1.resp_sc_njatav {c |}{col 40}{res}{space 2} .0054395{col 52}{space 2} .1175299{col 63}{space 1}    0.05{col 72}{space 3}0.963{col 80}{space 4}-.2250703{col 93}{space 3} .2359494
{txt}{space 38} {c |}
{space 11}resp_sc_njatav#c.legitimize {c |}
{space 36}1  {c |}{col 40}{res}{space 2}  .072269{col 52}{space 2} .1384673{col 63}{space 1}    0.52{col 72}{space 3}0.602{col 80}{space 4}-.1993049{col 93}{space 3}  .343843
{txt}{space 38} {c |}
{space 13}resp_sc_njatav#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2} .1558931{col 52}{space 2} .1453422{col 63}{space 1}    1.07{col 72}{space 3}0.284{col 80}{space 4}-.1291646{col 93}{space 3} .4409508
{txt}{space 38} {c |}
resp_sc_njatav#c.legitimize#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.2126913{col 52}{space 2} .1878121{col 63}{space 1}   -1.13{col 72}{space 3}0.258{col 80}{space 4}-.5810446{col 93}{space 3} .1556621
{txt}{space 38} {c |}
{space 30}vote_bjp {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 35}age {c |}{col 40}{res}{space 2} .0246703{col 52}{space 2} .0448079{col 63}{space 1}    0.55{col 72}{space 3}0.582{col 80}{space 4}-.0632108{col 93}{space 3} .1125514
{txt}{space 32}female {c |}{col 40}{res}{space 2}-.0111736{col 52}{space 2} .0301731{col 63}{space 1}   -0.37{col 72}{space 3}0.711{col 80}{space 4}-.0703516{col 93}{space 3} .0480045
{txt}{space 30}resp_gen {c |}{col 40}{res}{space 2} .0119252{col 52}{space 2} .0480887{col 63}{space 1}    0.25{col 72}{space 3}0.804{col 80}{space 4}-.0823905{col 93}{space 3}  .106241
{txt}{space 24}resp_obc_yadav {c |}{col 40}{res}{space 2} .1620985{col 52}{space 2}  .070197{col 63}{space 1}    2.31{col 72}{space 3}0.021{col 80}{space 4}  .024422{col 93}{space 3}  .299775
{txt}{space 23}resp_obc_nyadav {c |}{col 40}{res}{space 2} .1493149{col 52}{space 2} .0466318{col 63}{space 1}    3.20{col 72}{space 3}0.001{col 80}{space 4} .0578567{col 93}{space 3} .2407732
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .1883342{col 52}{space 2} .1727603{col 63}{space 1}    1.09{col 72}{space 3}0.276{col 80}{space 4}-.1504982{col 93}{space 3} .5271667
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at( legitimize=(0 1) response=(0 1) resp_sc_njatav==1     ) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,808
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:legitimize}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:response}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_sc_njatav}{space 2}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vote_bjp}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:age}{space 13}{txt:=} {space 3}3.669076 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:female}{space 10}{txt:=} {space 3}.4728982 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_gen}{space 8}{txt:=} {space 3}.3733407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_y~v}{space 4}{txt:=} {space 3}.0630531 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:resp_obc_n~v}{space 4}{txt:=} {space 3}.3379425 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3441398{col 26}{space 2} .1114027{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .1256472{col 67}{space 3} .5626323
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4662249{col 26}{space 2} .0934812{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .2828814{col 67}{space 3} .6495684
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0547541{col 26}{space 2} .0827764{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.2171024{col 67}{space 3} .1075941
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5172899{col 26}{space 2} .0879587{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} .3447776{col 67}{space 3} .6898021
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)  legend(order(3 "Peace" 4 "Violence") pos(6) row(1)) xsize(5)  legend(region(lwidth(none)) subtitle("Party responds with:", size(small)) ) ylabel(-0.40(.2)0.8)  graphregion(color(white)) bgcolor(white)   xlabel(0 `""Without" "Legitimization""' 1 `""With" "Legitimization""' , labsize(small)) xtitle("") title(F: BJP Voters (Non-Jatav SCs)) ytitle("Approval for BJP's response")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: legitimize response{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Appendix A Descriptives & Baseline Tests
> 
. 
. 
. ////For Table A.1. Summary statistics
> sum y_v1 y_p1 legitimize response resp_gen resp_obc_yadav resp_obc_nyadav resp_sc_njatav resp_muslim  age  female 

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_v1 {c |}{res}      4,298    .3104933    .6969792         -1          1
{txt}{space 8}y_p1 {c |}{res}      4,303    .2299558    .7179878         -1          1
{txt}{space 2}legitimize {c |}{res}      4,783     .487142    .4998869          0          1
{txt}{space 4}response {c |}{res}      4,783    .4971775    .5000443          0          1
{txt}{space 4}resp_gen {c |}{res}      4,783     .198411     .398845          0          1
{txt}{hline 13}{c +}{hline 57}
resp_obc_y~v {c |}{res}      4,783    .1158269    .3200507          0          1
{txt}resp_obc_n~v {c |}{res}      4,783    .2740958    .4461041          0          1
{txt}resp_sc_nj~v {c |}{res}      4,783     .090738    .2872662          0          1
{txt}{space 1}resp_muslim {c |}{res}      4,783    .1760401    .3808941          0          1
{txt}{space 9}age {c |}{res}      4,783    3.665489    .3325882   2.890372   4.584968
{txt}{hline 13}{c +}{hline 57}
{space 6}female {c |}{res}      4,783    .4628894     .498673          0          1
{txt}
{com}. 
. 
. ////For Table A.2. Covariate balance
> 
. gen balancetreat=.
{txt}(4,783 missing values generated)

{com}. replace balancetreat=0 if legitimize==0 & response==0
{txt}(1,205 real changes made)

{com}. replace balancetreat=1 if legitimize==1 & response==0
{txt}(1,200 real changes made)

{com}. replace balancetreat=2 if legitimize==0 & response==1
{txt}(1,248 real changes made)

{com}. replace balancetreat=3 if legitimize==1 & response==1
{txt}(1,130 real changes made)

{com}. 
. eststo clear
{txt}
{com}. mlogit  balancetreat resp_hindu resp_muslim vote_bjp  age  female , base(0) 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6627.6357}  
Iteration 1:{space 3}log likelihood = {res:-6507.1519}  
Iteration 2:{space 3}log likelihood = {res:-6505.1095}  
Iteration 3:{space 3}log likelihood = {res:-6504.8247}  
Iteration 4:{space 3}log likelihood = {res:-6504.7724}  
Iteration 5:{space 3}log likelihood = {res:-6504.7608}  
Iteration 6:{space 3}log likelihood = {res: -6504.758}  
Iteration 7:{space 3}log likelihood = {res:-6504.7574}  
Iteration 8:{space 3}log likelihood = {res:-6504.7573}  
Iteration 9:{space 3}log likelihood = {res:-6504.7573}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     4,783
{txt}{col 49}LR chi2({res}15{txt}){col 67}= {res}    245.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-6504.7573{txt}{col 49}Pseudo R2{col 67}= {res}    0.0185

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}balancetreat{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2}  17.3396{col 26}{space 2}  612.852{col 37}{space 1}    0.03{col 46}{space 3}0.977{col 54}{space 4}-1183.828{col 67}{space 3} 1218.507
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2} 17.17313{col 26}{space 2}  612.852{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-1183.995{col 67}{space 3} 1218.341
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2}-.0169299{col 26}{space 2} .0897206{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4} -.192779{col 67}{space 3} .1589192
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0673985{col 26}{space 2} .1250754{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.3125417{col 67}{space 3} .1777447
{txt}{space 6}female {c |}{col 14}{res}{space 2} .1269705{col 26}{space 2}  .083377{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0364453{col 67}{space 3} .2903864
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -17.0477{col 26}{space 2} 612.8522{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-1218.216{col 67}{space 3} 1184.121
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2} 17.31369{col 26}{space 2} 598.4352{col 37}{space 1}    0.03{col 46}{space 3}0.977{col 54}{space 4}-1155.598{col 67}{space 3} 1190.225
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2} 17.29778{col 26}{space 2} 598.4352{col 37}{space 1}    0.03{col 46}{space 3}0.977{col 54}{space 4}-1155.614{col 67}{space 3} 1190.209
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .1334426{col 26}{space 2} .0889547{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0409055{col 67}{space 3} .3077906
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.2265411{col 26}{space 2} .1240442{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.4696633{col 67}{space 3} .0165811
{txt}{space 6}female {c |}{col 14}{res}{space 2} .1217905{col 26}{space 2} .0826368{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.0401746{col 67}{space 3} .2837556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-16.48705{col 26}{space 2} 598.4353{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-1189.399{col 67}{space 3} 1156.425
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 2}resp_hindu {c |}{col 14}{res}{space 2} 17.33794{col 26}{space 2} 632.1031{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-1221.561{col 67}{space 3} 1256.237
{txt}{space 1}resp_muslim {c |}{col 14}{res}{space 2} 17.13236{col 26}{space 2} 632.1031{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-1221.767{col 67}{space 3} 1256.032
{txt}{space 4}vote_bjp {c |}{col 14}{res}{space 2} .0968143{col 26}{space 2} .0906387{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0808344{col 67}{space 3} .2744629
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.1258577{col 26}{space 2} .1269443{col 37}{space 1}   -0.99{col 46}{space 3}0.321{col 54}{space 4} -.374664{col 67}{space 3} .1229486
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0088955{col 26}{space 2} .0848749{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4}-.1752474{col 67}{space 3} .1574563
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-16.87018{col 26}{space 2} 632.1033{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4} -1255.77{col 67}{space 3}  1222.03
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 81 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. est store balance
{txt}
{com}. 
. 
. esttab balance using balance.tex,  ///
> replace scalars("ll Log lik." "chi2 Chi-squared") se label  b(%9.3f) t(%9.3f) nonumber booktabs ///
> title("Covariate balance." \label{c -(}tab:balance{c )-}) ///
> mtitle("M1") ///
> eqlabels(none) ///
> mgroups("Treatment Assignment", pattern(1) ///
> prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})   ///
> span erepeat(\cmidrule(lr){c -(}@span{c )-}))         ///
> alignment(cr) page(dcolumn) nonumber 
{res}{txt}(output written to {browse  `"balance.tex"'})

{com}. 
. 
. 
. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Appendix D Supplementary Tables
> 
. 
. ////For Table D.1. Column M1
> reg y_p1 c.legitimize##c.response##c.resp_gen c.vote_bjp   age  female  resp_obc_yadav resp_obc_nyadav resp_sc_njatav if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}    11.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0414
                                                {txt}Root MSE          =    {res} .66651

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                              y_p1{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}legitimize {c |}{col 36}{res}{space 2}-.0867691{col 48}{space 2} .0350571{col 59}{space 1}   -2.48{col 68}{space 3}0.013{col 76}{space 4}-.1555035{col 89}{space 3}-.0180348
{txt}{space 26}response {c |}{col 36}{res}{space 2} .0045286{col 48}{space 2}  .035732{col 59}{space 1}    0.13{col 68}{space 3}0.899{col 76}{space 4}-.0655288{col 89}{space 3} .0745861
{txt}{space 34} {c |}
{space 11}c.legitimize#c.response {c |}{col 36}{res}{space 2} .0799557{col 48}{space 2} .0506383{col 59}{space 1}    1.58{col 68}{space 3}0.114{col 76}{space 4}-.0193275{col 89}{space 3}  .179239
{txt}{space 34} {c |}
{space 26}resp_gen {c |}{col 36}{res}{space 2}-.0415826{col 48}{space 2} .0634702{col 59}{space 1}   -0.66{col 68}{space 3}0.512{col 76}{space 4}-.1660246{col 89}{space 3} .0828593
{txt}{space 34} {c |}
{space 11}c.legitimize#c.resp_gen {c |}{col 36}{res}{space 2}-.2332831{col 48}{space 2}  .077157{col 59}{space 1}   -3.02{col 68}{space 3}0.003{col 76}{space 4}-.3845601{col 89}{space 3}-.0820062
{txt}{space 34} {c |}
{space 13}c.response#c.resp_gen {c |}{col 36}{res}{space 2}-.0768454{col 48}{space 2} .0808029{col 59}{space 1}   -0.95{col 68}{space 3}0.342{col 76}{space 4}-.2352706{col 89}{space 3} .0815797
{txt}{space 34} {c |}
c.legitimize#c.response#c.resp_gen {c |}{col 36}{res}{space 2} .5386599{col 48}{space 2} .1082688{col 59}{space 1}    4.98{col 68}{space 3}0.000{col 76}{space 4} .3263841{col 89}{space 3} .7509357
{txt}{space 34} {c |}
{space 26}vote_bjp {c |}{col 36}{res}{space 2}-.0995067{col 48}{space 2} .0240186{col 59}{space 1}   -4.14{col 68}{space 3}0.000{col 76}{space 4}-.1465985{col 89}{space 3}-.0524149
{txt}{space 31}age {c |}{col 36}{res}{space 2}   .02806{col 48}{space 2} .0328083{col 59}{space 1}    0.86{col 68}{space 3}0.392{col 76}{space 4}-.0362652{col 89}{space 3} .0923852
{txt}{space 28}female {c |}{col 36}{res}{space 2} .0042198{col 48}{space 2} .0225246{col 59}{space 1}    0.19{col 68}{space 3}0.851{col 76}{space 4}-.0399428{col 89}{space 3} .0483824
{txt}{space 20}resp_obc_yadav {c |}{col 36}{res}{space 2} .0773535{col 48}{space 2} .0413968{col 59}{space 1}    1.87{col 68}{space 3}0.062{col 76}{space 4}-.0038106{col 89}{space 3} .1585176
{txt}{space 19}resp_obc_nyadav {c |}{col 36}{res}{space 2} .1057967{col 48}{space 2} .0340382{col 59}{space 1}    3.11{col 68}{space 3}0.002{col 76}{space 4} .0390601{col 89}{space 3} .1725333
{txt}{space 20}resp_sc_njatav {c |}{col 36}{res}{space 2}-.0068366{col 48}{space 2} .0414408{col 59}{space 1}   -0.16{col 68}{space 3}0.869{col 76}{space 4} -.088087{col 89}{space 3} .0744138
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} .2633507{col 48}{space 2} .1250113{col 59}{space 1}    2.11{col 68}{space 3}0.035{col 76}{space 4} .0182488{col 89}{space 3} .5084525
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Table D.1. Column M2
> reg y_p1 c.legitimize##c.response##resp_obc_nyadav c.vote_bjp   age  female c.resp_gen resp_obc_yadav  resp_sc_njatav if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}     8.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0306
                                                {txt}Root MSE          =    {res} .67026

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                   y_p1{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      t{col 73}   P>|t|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}legitimize {c |}{col 41}{res}{space 2}-.1650383{col 53}{space 2} .0389593{col 64}{space 1}   -4.24{col 73}{space 3}0.000{col 81}{space 4}-.2414234{col 94}{space 3}-.0886532
{txt}{space 31}response {c |}{col 41}{res}{space 2}-.0030812{col 53}{space 2} .0399006{col 64}{space 1}   -0.08{col 73}{space 3}0.938{col 81}{space 4}-.0813118{col 94}{space 3} .0751493
{txt}{space 39} {c |}
{space 16}c.legitimize#c.response {c |}{col 41}{res}{space 2} .2319366{col 53}{space 2} .0562192{col 64}{space 1}    4.13{col 73}{space 3}0.000{col 81}{space 4} .1217112{col 94}{space 3}  .342162
{txt}{space 39} {c |}
{space 22}1.resp_obc_nyadav {c |}{col 41}{res}{space 2} .1035764{col 53}{space 2} .0543153{col 64}{space 1}    1.91{col 73}{space 3}0.057{col 81}{space 4}-.0029162{col 94}{space 3}  .210069
{txt}{space 39} {c |}
{space 11}resp_obc_nyadav#c.legitimize {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0616349{col 53}{space 2} .0662891{col 64}{space 1}    0.93{col 73}{space 3}0.353{col 81}{space 4} -.068334{col 94}{space 3} .1916038
{txt}{space 39} {c |}
{space 13}resp_obc_nyadav#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0321165{col 53}{space 2} .0679039{col 64}{space 1}   -0.47{col 73}{space 3}0.636{col 81}{space 4}-.1652514{col 94}{space 3} .1010183
{txt}{space 39} {c |}
resp_obc_nyadav#c.legitimize#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.0507487{col 53}{space 2} .0940413{col 64}{space 1}   -0.54{col 73}{space 3}0.589{col 81}{space 4}-.2351296{col 94}{space 3} .1336323
{txt}{space 39} {c |}
{space 31}vote_bjp {c |}{col 41}{res}{space 2}-.0983743{col 53}{space 2} .0238104{col 64}{space 1}   -4.13{col 73}{space 3}0.000{col 81}{space 4}-.1450578{col 94}{space 3}-.0516908
{txt}{space 36}age {c |}{col 41}{res}{space 2} .0230909{col 53}{space 2} .0330955{col 64}{space 1}    0.70{col 73}{space 3}0.485{col 81}{space 4}-.0417974{col 94}{space 3} .0879792
{txt}{space 33}female {c |}{col 41}{res}{space 2} .0049444{col 53}{space 2} .0226892{col 64}{space 1}    0.22{col 73}{space 3}0.828{col 81}{space 4} -.039541{col 94}{space 3} .0494297
{txt}{space 31}resp_gen {c |}{col 41}{res}{space 2}-.0637603{col 53}{space 2} .0379581{col 64}{space 1}   -1.68{col 73}{space 3}0.093{col 81}{space 4}-.1381825{col 94}{space 3} .0106618
{txt}{space 25}resp_obc_yadav {c |}{col 41}{res}{space 2} .0776382{col 53}{space 2} .0416296{col 64}{space 1}    1.86{col 73}{space 3}0.062{col 81}{space 4}-.0039823{col 94}{space 3} .1592587
{txt}{space 25}resp_sc_njatav {c |}{col 41}{res}{space 2}-.0054071{col 53}{space 2}  .041618{col 64}{space 1}   -0.13{col 73}{space 3}0.897{col 81}{space 4}-.0870049{col 94}{space 3} .0761907
{txt}{space 34}_cons {c |}{col 41}{res}{space 2}  .286876{col 53}{space 2}  .126419{col 64}{space 1}    2.27{col 73}{space 3}0.023{col 81}{space 4} .0390143{col 94}{space 3} .5347378
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Table D.1. Column M3
> reg y_p1 c.legitimize##c.response##resp_sc_njatav c.vote_bjp   age  female c.resp_gen resp_obc_yadav resp_obc_nyadav  if resp_hindu==1, robust

{txt}Linear regression                               Number of obs     = {res}     3,540
                                                {txt}F(13, 3526)       =  {res}     8.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0316
                                                {txt}Root MSE          =    {res} .66991

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                  y_p1{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}legitimize {c |}{col 40}{res}{space 2}-.1678452{col 52}{space 2} .0339967{col 63}{space 1}   -4.94{col 72}{space 3}0.000{col 80}{space 4}-.2345003{col 93}{space 3}  -.10119
{txt}{space 30}response {c |}{col 40}{res}{space 2}-.0344123{col 52}{space 2} .0349174{col 63}{space 1}   -0.99{col 72}{space 3}0.324{col 80}{space 4}-.1028727{col 93}{space 3} .0340482
{txt}{space 38} {c |}
{space 15}c.legitimize#c.response {c |}{col 40}{res}{space 2} .2557113{col 52}{space 2} .0484538{col 63}{space 1}    5.28{col 72}{space 3}0.000{col 80}{space 4}  .160711{col 93}{space 3} .3507116
{txt}{space 38} {c |}
{space 22}1.resp_sc_njatav {c |}{col 40}{res}{space 2}-.1089038{col 52}{space 2} .0696064{col 63}{space 1}   -1.56{col 72}{space 3}0.118{col 80}{space 4}-.2453766{col 93}{space 3} .0275691
{txt}{space 38} {c |}
{space 11}resp_sc_njatav#c.legitimize {c |}
{space 36}1  {c |}{col 40}{res}{space 2}  .195594{col 52}{space 2} .0886452{col 63}{space 1}    2.21{col 72}{space 3}0.027{col 80}{space 4}  .021793{col 93}{space 3} .3693951
{txt}{space 38} {c |}
{space 13}resp_sc_njatav#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2} .1711234{col 52}{space 2}  .089557{col 63}{space 1}    1.91{col 72}{space 3}0.056{col 80}{space 4}-.0044654{col 93}{space 3} .3467122
{txt}{space 38} {c |}
resp_sc_njatav#c.legitimize#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.3414197{col 52}{space 2}  .131034{col 63}{space 1}   -2.61{col 72}{space 3}0.009{col 80}{space 4}-.5983298{col 93}{space 3}-.0845096
{txt}{space 38} {c |}
{space 30}vote_bjp {c |}{col 40}{res}{space 2}-.1002731{col 52}{space 2} .0237971{col 63}{space 1}   -4.21{col 72}{space 3}0.000{col 80}{space 4}-.1469306{col 93}{space 3}-.0536155
{txt}{space 35}age {c |}{col 40}{res}{space 2} .0232334{col 52}{space 2} .0330293{col 63}{space 1}    0.70{col 72}{space 3}0.482{col 80}{space 4} -.041525{col 93}{space 3} .0879918
{txt}{space 32}female {c |}{col 40}{res}{space 2} .0060086{col 52}{space 2} .0226558{col 63}{space 1}    0.27{col 72}{space 3}0.791{col 80}{space 4}-.0384112{col 93}{space 3} .0504283
{txt}{space 30}resp_gen {c |}{col 40}{res}{space 2}-.0630595{col 52}{space 2} .0379716{col 63}{space 1}   -1.66{col 72}{space 3}0.097{col 80}{space 4} -.137508{col 93}{space 3}  .011389
{txt}{space 24}resp_obc_yadav {c |}{col 40}{res}{space 2} .0773645{col 52}{space 2} .0416304{col 63}{space 1}    1.86{col 72}{space 3}0.063{col 80}{space 4}-.0042576{col 93}{space 3} .1589866
{txt}{space 23}resp_obc_nyadav {c |}{col 40}{res}{space 2} .1061161{col 52}{space 2} .0340886{col 63}{space 1}    3.11{col 72}{space 3}0.002{col 80}{space 4} .0392806{col 93}{space 3} .1729515
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .2978414{col 52}{space 2} .1257973{col 63}{space 1}    2.37{col 72}{space 3}0.018{col 80}{space 4} .0511986{col 93}{space 3} .5444843
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Table D.1. Column M4
> reg y_p1 c.legitimize##c.response##c.resp_gen c.vote_bjp   age  female  resp_obc_yadav resp_obc_nyadav resp_sc_njatav if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1302
                                                {txt}Root MSE          =    {res}  .6372

{txt}{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                              y_p1{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}legitimize {c |}{col 36}{res}{space 2}-.4560115{col 48}{space 2} .0526527{col 59}{space 1}   -8.66{col 68}{space 3}0.000{col 76}{space 4}-.5592786{col 89}{space 3}-.3527444
{txt}{space 26}response {c |}{col 36}{res}{space 2}-.0011098{col 48}{space 2} .0505861{col 59}{space 1}   -0.02{col 68}{space 3}0.982{col 76}{space 4}-.1003236{col 89}{space 3} .0981041
{txt}{space 34} {c |}
{space 11}c.legitimize#c.response {c |}{col 36}{res}{space 2} .5534046{col 48}{space 2} .0716281{col 59}{space 1}    7.73{col 68}{space 3}0.000{col 76}{space 4} .4129214{col 89}{space 3} .6938877
{txt}{space 34} {c |}
{space 26}resp_gen {c |}{col 36}{res}{space 2}-.0043961{col 48}{space 2} .0810182{col 59}{space 1}   -0.05{col 68}{space 3}0.957{col 76}{space 4}-.1632959{col 89}{space 3} .1545037
{txt}{space 34} {c |}
{space 11}c.legitimize#c.resp_gen {c |}{col 36}{res}{space 2}-.0224452{col 48}{space 2} .0942213{col 59}{space 1}   -0.24{col 68}{space 3}0.812{col 76}{space 4}-.2072402{col 89}{space 3} .1623498
{txt}{space 34} {c |}
{space 13}c.response#c.resp_gen {c |}{col 36}{res}{space 2} -.064487{col 48}{space 2} .0997181{col 59}{space 1}   -0.65{col 68}{space 3}0.518{col 76}{space 4}-.2600626{col 89}{space 3} .1310887
{txt}{space 34} {c |}
c.legitimize#c.response#c.resp_gen {c |}{col 36}{res}{space 2} .2439383{col 48}{space 2} .1299899{col 59}{space 1}    1.88{col 68}{space 3}0.061{col 76}{space 4}-.0110091{col 89}{space 3} .4988858
{txt}{space 34} {c |}
{space 26}vote_bjp {c |}{col 36}{res}{space 2}        0{col 48}{txt}  (omitted)
{space 31}age {c |}{col 36}{res}{space 2} .0255422{col 48}{space 2} .0447271{col 59}{space 1}    0.57{col 68}{space 3}0.568{col 76}{space 4}-.0621805{col 89}{space 3} .1132648
{txt}{space 28}female {c |}{col 36}{res}{space 2} -.012267{col 48}{space 2} .0301267{col 59}{space 1}   -0.41{col 68}{space 3}0.684{col 76}{space 4} -.071354{col 89}{space 3}   .04682
{txt}{space 20}resp_obc_yadav {c |}{col 36}{res}{space 2} .1613816{col 48}{space 2} .0698224{col 59}{space 1}    2.31{col 68}{space 3}0.021{col 76}{space 4} .0244399{col 89}{space 3} .2983233
{txt}{space 19}resp_obc_nyadav {c |}{col 36}{res}{space 2} .1503382{col 48}{space 2} .0465871{col 59}{space 1}    3.23{col 68}{space 3}0.001{col 76}{space 4} .0589675{col 89}{space 3} .2417089
{txt}{space 20}resp_sc_njatav {c |}{col 36}{res}{space 2} .0721817{col 48}{space 2} .0587423{col 59}{space 1}    1.23{col 68}{space 3}0.219{col 76}{space 4}-.0430288{col 89}{space 3} .1873922
{txt}{space 29}_cons {c |}{col 36}{res}{space 2} .1862638{col 48}{space 2} .1737545{col 59}{space 1}    1.07{col 68}{space 3}0.284{col 76}{space 4}-.1545185{col 89}{space 3} .5270461
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Table D.1. Column M5
> reg y_p1 c.legitimize##c.response##resp_obc_nyadav c.vote_bjp   age  female c.resp_gen resp_obc_yadav  resp_sc_njatav if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1270
                                                {txt}Root MSE          =    {res} .63836

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                   y_p1{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      t{col 73}   P>|t|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}legitimize {c |}{col 41}{res}{space 2}-.4840087{col 53}{space 2} .0549435{col 64}{space 1}   -8.81{col 73}{space 3}0.000{col 81}{space 4}-.5917687{col 94}{space 3}-.3762487
{txt}{space 31}response {c |}{col 41}{res}{space 2}-.0364588{col 53}{space 2} .0575245{col 64}{space 1}   -0.63{col 73}{space 3}0.526{col 81}{space 4}-.1492809{col 94}{space 3} .0763633
{txt}{space 39} {c |}
{space 16}c.legitimize#c.response {c |}{col 41}{res}{space 2} .6844069{col 53}{space 2} .0763457{col 64}{space 1}    8.96{col 73}{space 3}0.000{col 81}{space 4} .5346711{col 94}{space 3} .8341428
{txt}{space 39} {c |}
{space 22}1.resp_obc_nyadav {c |}{col 41}{res}{space 2} .1274156{col 53}{space 2} .0757365{col 64}{space 1}    1.68{col 73}{space 3}0.093{col 81}{space 4}-.0211254{col 94}{space 3} .2759566
{txt}{space 39} {c |}
{space 11}resp_obc_nyadav#c.legitimize {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0586657{col 53}{space 2} .0919674{col 64}{space 1}    0.64{col 73}{space 3}0.524{col 81}{space 4}-.1217086{col 94}{space 3} .2390401
{txt}{space 39} {c |}
{space 13}resp_obc_nyadav#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2} .0420901{col 53}{space 2} .0904033{col 64}{space 1}    0.47{col 73}{space 3}0.642{col 81}{space 4}-.1352166{col 94}{space 3} .2193968
{txt}{space 39} {c |}
resp_obc_nyadav#c.legitimize#c.response {c |}
{space 37}1  {c |}{col 41}{res}{space 2}-.1186707{col 53}{space 2} .1239278{col 64}{space 1}   -0.96{col 73}{space 3}0.338{col 81}{space 4}-.3617285{col 94}{space 3} .1243872
{txt}{space 39} {c |}
{space 31}vote_bjp {c |}{col 41}{res}{space 2}        0{col 53}{txt}  (omitted)
{space 36}age {c |}{col 41}{res}{space 2} .0242104{col 53}{space 2} .0447273{col 64}{space 1}    0.54{col 73}{space 3}0.588{col 81}{space 4}-.0635126{col 94}{space 3} .1119334
{txt}{space 33}female {c |}{col 41}{res}{space 2}-.0121568{col 53}{space 2} .0301932{col 64}{space 1}   -0.40{col 73}{space 3}0.687{col 81}{space 4}-.0713743{col 94}{space 3} .0470607
{txt}{space 31}resp_gen {c |}{col 41}{res}{space 2} .0117736{col 53}{space 2} .0481672{col 64}{space 1}    0.24{col 73}{space 3}0.807{col 81}{space 4}-.0826961{col 94}{space 3} .1062432
{txt}{space 25}resp_obc_yadav {c |}{col 41}{res}{space 2} .1619314{col 53}{space 2} .0703179{col 64}{space 1}    2.30{col 73}{space 3}0.021{col 81}{space 4} .0240179{col 94}{space 3} .2998449
{txt}{space 25}resp_sc_njatav {c |}{col 41}{res}{space 2} .0698365{col 53}{space 2}  .058928{col 64}{space 1}    1.19{col 73}{space 3}0.236{col 81}{space 4}-.0457382{col 94}{space 3} .1854111
{txt}{space 34}_cons {c |}{col 41}{res}{space 2} .1930035{col 53}{space 2} .1742021{col 64}{space 1}    1.11{col 73}{space 3}0.268{col 81}{space 4}-.1486568{col 94}{space 3} .5346638
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Table D.1. Column M6
> reg y_p1 c.legitimize##c.response##resp_sc_njatav c.vote_bjp   age  female c.resp_gen resp_obc_yadav resp_obc_nyadav  if vote_bjp==1, robust
{p 0 6 2}{txt}note: vote_bjp omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,808
                                                {txt}F(12, 1795)       =  {res}    24.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1272
                                                {txt}Root MSE          =    {res}  .6383

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                  y_p1{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}legitimize {c |}{col 40}{res}{space 2}-.4711629{col 52}{space 2} .0467379{col 63}{space 1}  -10.08{col 72}{space 3}0.000{col 80}{space 4}-.5628294{col 93}{space 3}-.3794964
{txt}{space 30}response {c |}{col 40}{res}{space 2} -.033808{col 52}{space 2} .0469541{col 63}{space 1}   -0.72{col 72}{space 3}0.472{col 80}{space 4}-.1258985{col 93}{space 3} .0582826
{txt}{space 38} {c |}
{space 15}c.legitimize#c.response {c |}{col 40}{res}{space 2} .6626501{col 52}{space 2} .0637904{col 63}{space 1}   10.39{col 72}{space 3}0.000{col 80}{space 4} .5375388{col 93}{space 3} .7877614
{txt}{space 38} {c |}
{space 22}1.resp_sc_njatav {c |}{col 40}{res}{space 2} .0054395{col 52}{space 2} .1175299{col 63}{space 1}    0.05{col 72}{space 3}0.963{col 80}{space 4}-.2250703{col 93}{space 3} .2359494
{txt}{space 38} {c |}
{space 11}resp_sc_njatav#c.legitimize {c |}
{space 36}1  {c |}{col 40}{res}{space 2}  .072269{col 52}{space 2} .1384673{col 63}{space 1}    0.52{col 72}{space 3}0.602{col 80}{space 4}-.1993049{col 93}{space 3}  .343843
{txt}{space 38} {c |}
{space 13}resp_sc_njatav#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2} .1558931{col 52}{space 2} .1453422{col 63}{space 1}    1.07{col 72}{space 3}0.284{col 80}{space 4}-.1291646{col 93}{space 3} .4409508
{txt}{space 38} {c |}
resp_sc_njatav#c.legitimize#c.response {c |}
{space 36}1  {c |}{col 40}{res}{space 2}-.2126913{col 52}{space 2} .1878121{col 63}{space 1}   -1.13{col 72}{space 3}0.258{col 80}{space 4}-.5810446{col 93}{space 3} .1556621
{txt}{space 38} {c |}
{space 30}vote_bjp {c |}{col 40}{res}{space 2}        0{col 52}{txt}  (omitted)
{space 35}age {c |}{col 40}{res}{space 2} .0246703{col 52}{space 2} .0448079{col 63}{space 1}    0.55{col 72}{space 3}0.582{col 80}{space 4}-.0632108{col 93}{space 3} .1125514
{txt}{space 32}female {c |}{col 40}{res}{space 2}-.0111736{col 52}{space 2} .0301731{col 63}{space 1}   -0.37{col 72}{space 3}0.711{col 80}{space 4}-.0703516{col 93}{space 3} .0480045
{txt}{space 30}resp_gen {c |}{col 40}{res}{space 2} .0119252{col 52}{space 2} .0480887{col 63}{space 1}    0.25{col 72}{space 3}0.804{col 80}{space 4}-.0823905{col 93}{space 3}  .106241
{txt}{space 24}resp_obc_yadav {c |}{col 40}{res}{space 2} .1620985{col 52}{space 2}  .070197{col 63}{space 1}    2.31{col 72}{space 3}0.021{col 80}{space 4}  .024422{col 93}{space 3}  .299775
{txt}{space 23}resp_obc_nyadav {c |}{col 40}{res}{space 2} .1493149{col 52}{space 2} .0466318{col 63}{space 1}    3.20{col 72}{space 3}0.001{col 80}{space 4} .0578567{col 93}{space 3} .2407732
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .1883342{col 52}{space 2} .1727603{col 63}{space 1}    1.09{col 72}{space 3}0.276{col 80}{space 4}-.1504982{col 93}{space 3} .5271667
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Appendix E TABLE E.2. Approval for party participating in violence (secondary vignette)
> 
. 
. 
. ////For Column M1 of Table E.2
> reg y_p2 c.legitimize2##c.response2 vote_sp resp_muslim  age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,286
                                                {txt}F(7, 4278)        =  {res}     4.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0068
                                                {txt}Root MSE          =    {res} .69567

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                     y_p2{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}legitimize2 {c |}{col 27}{res}{space 2} .0499889{col 39}{space 2} .0303795{col 50}{space 1}    1.65{col 59}{space 3}0.100{col 67}{space 4}-.0095708{col 80}{space 3} .1095485
{txt}{space 16}response2 {c |}{col 27}{res}{space 2} .0169414{col 39}{space 2} .0312541{col 50}{space 1}    0.54{col 59}{space 3}0.588{col 67}{space 4}-.0443328{col 80}{space 3} .0782157
{txt}{space 25} {c |}
c.legitimize2#c.response2 {c |}{col 27}{res}{space 2}-.0206294{col 39}{space 2} .0426117{col 50}{space 1}   -0.48{col 59}{space 3}0.628{col 67}{space 4}-.1041704{col 80}{space 3} .0629117
{txt}{space 25} {c |}
{space 18}vote_sp {c |}{col 27}{res}{space 2} .1035022{col 39}{space 2} .0225444{col 50}{space 1}    4.59{col 59}{space 3}0.000{col 67}{space 4} .0593035{col 80}{space 3}  .147701
{txt}{space 14}resp_muslim {c |}{col 27}{res}{space 2}-.0579673{col 39}{space 2} .0295974{col 50}{space 1}   -1.96{col 59}{space 3}0.050{col 67}{space 4}-.1159936{col 80}{space 3} .0000589
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0484137{col 39}{space 2} .0323971{col 50}{space 1}    1.49{col 59}{space 3}0.135{col 67}{space 4}-.0151015{col 80}{space 3} .1119289
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0350643{col 39}{space 2} .0212932{col 50}{space 1}    1.65{col 59}{space 3}0.100{col 67}{space 4}-.0066815{col 80}{space 3}   .07681
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1305771{col 39}{space 2} .1211395{col 50}{space 1}    1.08{col 59}{space 3}0.281{col 67}{space 4}-.1069193{col 80}{space 3} .3680734
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ////For Column M2 of Table E.2
> reg y_p2 c.legitimize2##c.response2##c.vote_sp##c.resp_muslim   age female , robust

{txt}Linear regression                               Number of obs     = {res}     4,286
                                                {txt}F(17, 4268)       =  {res}     4.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0149
                                                {txt}Root MSE          =    {res} .69363

{txt}{hline 50}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 51}{c |}{col 63}    Robust
{col 1}                                             y_p2{col 51}{c |}      Coef.{col 63}   Std. Err.{col 75}      t{col 83}   P>|t|{col 91}     [95% Con{col 104}f. Interval]
{hline 50}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}legitimize2 {c |}{col 51}{res}{space 2}  .046701{col 63}{space 2} .0403653{col 74}{space 1}    1.16{col 83}{space 3}0.247{col 91}{space 4} -.032436{col 104}{space 3}  .125838
{txt}{space 40}response2 {c |}{col 51}{res}{space 2} .0468741{col 63}{space 2} .0410757{col 74}{space 1}    1.14{col 83}{space 3}0.254{col 91}{space 4}-.0336556{col 104}{space 3} .1274038
{txt}{space 49} {c |}
{space 24}c.legitimize2#c.response2 {c |}{col 51}{res}{space 2}-.0399497{col 63}{space 2}  .056008{col 74}{space 1}   -0.71{col 83}{space 3}0.476{col 91}{space 4}-.1497545{col 104}{space 3} .0698552
{txt}{space 49} {c |}
{space 42}vote_sp {c |}{col 51}{res}{space 2} .1771574{col 63}{space 2} .0531606{col 74}{space 1}    3.33{col 83}{space 3}0.001{col 91}{space 4} .0729349{col 104}{space 3} .2813799
{txt}{space 49} {c |}
{space 26}c.legitimize2#c.vote_sp {c |}{col 51}{res}{space 2} .0479129{col 63}{space 2}  .069211{col 74}{space 1}    0.69{col 83}{space 3}0.489{col 91}{space 4}-.0877766{col 104}{space 3} .1836025
{txt}{space 49} {c |}
{space 28}c.response2#c.vote_sp {c |}{col 51}{res}{space 2}-.0497292{col 63}{space 2} .0740357{col 74}{space 1}   -0.67{col 83}{space 3}0.502{col 91}{space 4}-.1948776{col 104}{space 3} .0954193
{txt}{space 49} {c |}
{space 14}c.legitimize2#c.response2#c.vote_sp {c |}{col 51}{res}{space 2}-.0337816{col 63}{space 2} .0991628{col 74}{space 1}   -0.34{col 83}{space 3}0.733{col 91}{space 4}-.2281922{col 104}{space 3} .1606291
{txt}{space 49} {c |}
{space 38}resp_muslim {c |}{col 51}{res}{space 2} .1979083{col 63}{space 2} .0847155{col 74}{space 1}    2.34{col 83}{space 3}0.020{col 91}{space 4} .0318219{col 104}{space 3} .3639947
{txt}{space 49} {c |}
{space 22}c.legitimize2#c.resp_muslim {c |}{col 51}{res}{space 2}-.1351275{col 63}{space 2} .1177406{col 74}{space 1}   -1.15{col 83}{space 3}0.251{col 91}{space 4}-.3659603{col 104}{space 3} .0957054
{txt}{space 49} {c |}
{space 24}c.response2#c.resp_muslim {c |}{col 51}{res}{space 2}-.1656948{col 63}{space 2} .1199164{col 74}{space 1}   -1.38{col 83}{space 3}0.167{col 91}{space 4}-.4007933{col 104}{space 3} .0694038
{txt}{space 49} {c |}
{space 10}c.legitimize2#c.response2#c.resp_muslim {c |}{col 51}{res}{space 2} .2416746{col 63}{space 2} .1668174{col 74}{space 1}    1.45{col 83}{space 3}0.147{col 91}{space 4}-.0853743{col 104}{space 3} .5687235
{txt}{space 49} {c |}
{space 26}c.vote_sp#c.resp_muslim {c |}{col 51}{res}{space 2}-.4168897{col 63}{space 2} .1205682{col 74}{space 1}   -3.46{col 83}{space 3}0.001{col 91}{space 4}-.6532662{col 104}{space 3}-.1805133
{txt}{space 49} {c |}
{space 12}c.legitimize2#c.vote_sp#c.resp_muslim {c |}{col 51}{res}{space 2} .1047919{col 63}{space 2} .1653537{col 74}{space 1}    0.63{col 83}{space 3}0.526{col 91}{space 4}-.2193874{col 104}{space 3} .4289712
{txt}{space 49} {c |}
{space 14}c.response2#c.vote_sp#c.resp_muslim {c |}{col 51}{res}{space 2} .1671485{col 63}{space 2} .1674348{col 74}{space 1}    1.00{col 83}{space 3}0.318{col 91}{space 4}-.1611108{col 104}{space 3} .4954077
{txt}{space 49} {c |}
c.legitimize2#c.response2#c.vote_sp#c.resp_muslim {c |}{col 51}{res}{space 2}-.1205629{col 63}{space 2} .2334165{col 74}{space 1}   -0.52{col 83}{space 3}0.606{col 91}{space 4}-.5781806{col 104}{space 3} .3370548
{txt}{space 49} {c |}
{space 46}age {c |}{col 51}{res}{space 2} .0475824{col 63}{space 2} .0323399{col 74}{space 1}    1.47{col 83}{space 3}0.141{col 91}{space 4}-.0158206{col 104}{space 3} .1109853
{txt}{space 43}female {c |}{col 51}{res}{space 2}  .036147{col 63}{space 2} .0212397{col 74}{space 1}    1.70{col 83}{space 3}0.089{col 91}{space 4}-.0054939{col 104}{space 3} .0777879
{txt}{space 44}_cons {c |}{col 51}{res}{space 2} .1066013{col 63}{space 2} .1223568{col 74}{space 1}    0.87{col 83}{space 3}0.384{col 91}{space 4}-.1332817{col 104}{space 3} .3464843
{txt}{hline 50}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////////////////////////////////////////////////////////////////////////////
> ////////// For Appendix F Table F.1
> 
. 
. 
. 
. ///////Table F.1 reports group means and ttests. 
> 
. keep if y_rv!=.
{txt}(365 observations deleted)

{com}. keep if y_rp!=.
{txt}(67 observations deleted)

{com}. keep if y_rnrp!=.
{txt}(76 observations deleted)

{com}. 
. ////Row 1 for Scheduled Castes, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_hindu==1 & resp_sc==1 & r_typeA==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}        437    .2768879    .6764325         -1          1
{txt}{space 8}y_rp {c |}{res}        437    .3100686    .6768378         -1          1
{txt}{space 6}y_rnrp {c |}{res}        437    .2471396    .6752657         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}        437   -.0331808    .7075427         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}        437    .0297483    .6542263         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_hindu==1 & resp_sc==1 & r_typeA==1
{txt}(3,838 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    437{col 22} .2768879{col 34} .0323582{col 46} .6764325{col 58} .2132905{col 70} .3404852
    {txt}y_rp {c |}{res}{col 12}    437{col 22} .3100686{col 34} .0323775{col 46} .6768378{col 58} .2464332{col 70} .3737041
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    437{col 22}-.0331808{col 34} .0338464{col 46} .7075427{col 58}-.0997031{col 70} .0333415
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res} -0.9803
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     436

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.1637         {txt}Pr(|T| > |t|) = {res}0.3275          {txt}Pr(T > t) = {res}0.8363
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    437{col 22} .2768879{col 34} .0323582{col 46} .6764325{col 58} .2132905{col 70} .3404852
  {txt}y_rnrp {c |}{res}{col 12}    437{col 22} .2471396{col 34} .0323023{col 46} .6752657{col 58} .1836519{col 70} .3106272
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    437{col 22} .0297483{col 34} .0312959{col 46} .6542263{col 58}-.0317613{col 70} .0912578
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  0.9505
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     436

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.8288         {txt}Pr(|T| > |t|) = {res}0.3424          {txt}Pr(T > t) = {res}0.1712
{txt}
{com}. restore
{txt}
{com}. 
. 
. ////Row 2 for Scheduled Castes, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_hindu==1 & resp_sc==1 & r_typeB==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}        496    .2600806    .7232776         -1          1
{txt}{space 8}y_rp {c |}{res}        496     .140121    .6883028         -1          1
{txt}{space 6}y_rnrp {c |}{res}        496    .2157258    .7119717         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}        496    .1199597    .9074466         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}        496    .0443548    .7205836         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_hindu==1 & resp_sc==1 & r_typeB==1
{txt}(3,779 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    496{col 22} .2600806{col 34} .0324761{col 46} .7232776{col 58} .1962726{col 70} .3238887
    {txt}y_rp {c |}{res}{col 12}    496{col 22}  .140121{col 34} .0309057{col 46} .6883028{col 58} .0793984{col 70} .2008435
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    496{col 22} .1199597{col 34} .0407456{col 46} .9074466{col 58} .0399041{col 70} .2000152
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res}  2.9441
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     495

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9983         {txt}Pr(|T| > |t|) = {res}0.0034          {txt}Pr(T > t) = {res}0.0017
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    496{col 22} .2600806{col 34} .0324761{col 46} .7232776{col 58} .1962726{col 70} .3238887
  {txt}y_rnrp {c |}{res}{col 12}    496{col 22} .2157258{col 34} .0319685{col 46} .7119717{col 58} .1529152{col 70} .2785364
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    496{col 22} .0443548{col 34} .0323552{col 46} .7205836{col 58}-.0192155{col 70} .1079252
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  1.3709
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     495

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9145         {txt}Pr(|T| > |t|) = {res}0.1710          {txt}Pr(T > t) = {res}0.0855
{txt}
{com}. restore
{txt}
{com}. 
. 
. ////Row 3 for Upper, Middle, and OBC Castes, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_hindu==1 & resp_sc==0 & r_typeA==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}      1,279    .4077404    .6826794         -1          1
{txt}{space 8}y_rp {c |}{res}      1,279     .247068    .6851467         -1          1
{txt}{space 6}y_rnrp {c |}{res}      1,279    .3307271     .704947         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}      1,279    .1606724    .9293223         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}      1,279    .0770133    .7430766         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_hindu==1 & resp_sc==0 & r_typeA==1
{txt}(2,996 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}  1,279{col 22} .4077404{col 34} .0190889{col 46} .6826794{col 58} .3702913{col 70} .4451895
    {txt}y_rp {c |}{res}{col 12}  1,279{col 22}  .247068{col 34} .0191579{col 46} .6851467{col 58} .2094836{col 70} .2846524
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,279{col 22} .1606724{col 34} .0259855{col 46} .9293223{col 58} .1096935{col 70} .2116513
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res}  6.1832
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}    1278

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}  1,279{col 22} .4077404{col 34} .0190889{col 46} .6826794{col 58} .3702913{col 70} .4451895
  {txt}y_rnrp {c |}{res}{col 12}  1,279{col 22} .3307271{col 34} .0197116{col 46}  .704947{col 58} .2920565{col 70} .3693977
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,279{col 22} .0770133{col 34} .0207777{col 46} .7430766{col 58} .0362511{col 70} .1177755
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  3.7065
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}    1278

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9999         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.0001
{txt}
{com}. restore
{txt}
{com}. 
. 
. ////Row 4 for Upper, Middle, and OBC Castes, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_hindu==1 & resp_sc==0 & r_typeB==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}      1,233    .3755069    .7057511         -1          1
{txt}{space 8}y_rp {c |}{res}      1,233    .4594485    .6540163         -1          1
{txt}{space 6}y_rnrp {c |}{res}      1,233    .3479319    .7043679         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}      1,233   -.0839416     .828697         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}      1,233     .027575    .7573034         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_hindu==1 & resp_sc==0 & r_typeB==1
{txt}(3,042 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}  1,233{col 22} .3755069{col 34} .0200988{col 46} .7057511{col 58} .3360752{col 70} .4149385
    {txt}y_rp {c |}{res}{col 12}  1,233{col 22} .4594485{col 34} .0186255{col 46} .6540163{col 58} .4229074{col 70} .4959896
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,233{col 22}-.0839416{col 34} .0236001{col 46}  .828697{col 58}-.1302425{col 70}-.0376407
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res} -3.5568
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}    1232

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0002         {txt}Pr(|T| > |t|) = {res}0.0004          {txt}Pr(T > t) = {res}0.9998
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}  1,233{col 22} .3755069{col 34} .0200988{col 46} .7057511{col 58} .3360752{col 70} .4149385
  {txt}y_rnrp {c |}{res}{col 12}  1,233{col 22} .3479319{col 34} .0200594{col 46} .7043679{col 58} .3085775{col 70} .3872862
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,233{col 22}  .027575{col 34} .0215669{col 46} .7573034{col 58} -.014737{col 70}  .069887
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  1.2786
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}    1232

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.8994         {txt}Pr(|T| > |t|) = {res}0.2013          {txt}Pr(T > t) = {res}0.1006
{txt}
{com}. restore
{txt}
{com}. 
. 
. ////Row 5 for Muslims, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_muslim==1  & r_typeA==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}        372    .2043011    .7915884         -1          1
{txt}{space 8}y_rp {c |}{res}        372    .4018817    .7055206         -1          1
{txt}{space 6}y_rnrp {c |}{res}        372    .1801075    .7923706         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}        372   -.1975806     .913699         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}        372    .0241935    .8039362         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_muslim==1 & r_typeA==1
{txt}(3,903 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    372{col 22} .2043011{col 34} .0410419{col 46} .7915884{col 58} .1235971{col 70} .2850051
    {txt}y_rp {c |}{res}{col 12}    372{col 22} .4018817{col 34} .0365795{col 46} .7055206{col 58} .3299525{col 70} .4738109
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    372{col 22}-.1975806{col 34} .0473731{col 46}  .913699{col 58}-.2907341{col 70}-.1044272
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res} -4.1707
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     371

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    372{col 22} .2043011{col 34} .0410419{col 46} .7915884{col 58} .1235971{col 70} .2850051
  {txt}y_rnrp {c |}{res}{col 12}    372{col 22} .1801075{col 34} .0410825{col 46} .7923706{col 58} .0993238{col 70} .2608913
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    372{col 22} .0241935{col 34} .0416821{col 46} .8039362{col 58}-.0577693{col 70} .1061564
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  0.5804
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     371

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.7190         {txt}Pr(|T| > |t|) = {res}0.5620          {txt}Pr(T > t) = {res}0.2810
{txt}
{com}. restore
{txt}
{com}. 
. 
. ////Row 6 for Muslims, Table F.1 
> sum y_rv y_rp y_rnrp y_r_VoverP y_r_VoverNR  if resp_muslim==1  & r_typeB==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}y_rv {c |}{res}        383    .2114883    .7473679         -1          1
{txt}{space 8}y_rp {c |}{res}        383    .0339426    .7127462         -1          1
{txt}{space 6}y_rnrp {c |}{res}        383   -.1997389    .7298246         -1          1
{txt}{space 2}y_r_VoverP {c |}{res}        383    .1775457    1.033379         -2          2
{txt}{space 1}y_r_VoverNR {c |}{res}        383    .4112272    .9454794         -2          2
{txt}
{com}. preserve 
{txt}
{com}. keep if resp_muslim==1 & r_typeB==1
{txt}(3,892 observations deleted)

{com}. ttest y_rv == y_rp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    383{col 22} .2114883{col 34} .0381887{col 46} .7473679{col 58} .1364018{col 70} .2865747
    {txt}y_rp {c |}{res}{col 12}    383{col 22} .0339426{col 34} .0364196{col 46} .7127462{col 58}-.0376655{col 70} .1055506
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    383{col 22} .1775457{col 34} .0528032{col 46} 1.033379{col 58} .0737244{col 70}  .281367
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rp{txt})                               t = {res}  3.3624
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     382

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9996         {txt}Pr(|T| > |t|) = {res}0.0009          {txt}Pr(T > t) = {res}0.0004
{txt}
{com}. ttest y_rv == y_rnrp

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    y_rv {c |}{res}{col 12}    383{col 22} .2114883{col 34} .0381887{col 46} .7473679{col 58} .1364018{col 70} .2865747
  {txt}y_rnrp {c |}{res}{col 12}    383{col 22}-.1997389{col 34} .0372923{col 46} .7298246{col 58}-.2730628{col 70} -.126415
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    383{col 22} .4112272{col 34} .0483117{col 46} .9454794{col 58} .3162369{col 70} .5062174
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}y_rv{txt} - {res}y_rnrp{txt})                             t = {res}  8.5120
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     382

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. restore
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\nprasad\Dropbox\UP Survey\Manuscript\Submission\JOP\Conditional accept\Final submitted version\Log File _Daxecker_Prasad.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}13 Feb 2025, 14:45:47
{txt}{.-}
{smcl}
{txt}{sf}{ul off}